Database Developer Jobs

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Data Scientist at our organization, you will constructively disrupt current Data Science practices and design new and better models that transform current and future business processes. You will be expected to directly contribute to the design and development of scaled Data Science algorithms and work with Data and Software Engineering teams to productionize algorithms. You will apply thorough technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms. You will develop others as a technical coach and lead or actively participate and contribute to a community of practice group. Lastly, you will become a known expert on one or multiple Data Science techniques and quantify improvement in business areas resulting from the use of the algorithms and modeling.</p><p>Key Responsibilities:</p><ul><li>Directly contribute to the design and development of scaled Data Science algorithms.</li><li>Work with Data and Software Engineering teams to productionize algorithms.</li><li>Apply thorough technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building.</li><li>Develop others as a technical coach.</li><li>Become a known expert on one or multiple Data Science techniques.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Demonstrates depth of applied IT skills across at least two IT job profiles.</li><li>Bachelor's degree on Data Science, Actuarial Science, Engineering, Computer Science or any related major.</li><li>1 to 3 years of relative experience.</li><li>Requires at least three relevant roles with experience across domains, OUs, or sub-OUs.</li><li>Influences senior leaders on key organizational, business, and technology decisions.</li><li>Sets and executes IT strategy at the P&amp;G OU, service category, major company IT platform, or infrastructure level.</li><li>Actively participates in developing others in the function.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We are looking for Senior Data Analyst who has deep technical analytics with business partnership. In this role you aren't just expected to build dashboards, you're expected to own the entire analytical lifecycle and influence business decisions.&nbsp;<br><br><p><b>What you'll do:</b></p><br><ul> <li>Own analytics for one or more business domains (such as Lending, Payments, Risk, Sales, or Growth), acting as the primary analytics partner for stakeholders.</li> <li>Translate ambiguous business questions into clear analytical problems, delivering actionable insights that drive decision-making.</li> <li>Build, maintain, and govern trusted metrics and dashboards in Looker using LookML, ensuring consistent definitions and a reliable single source of truth.</li> <li>Conduct advanced analyses, including funnel diagnostics, cohort analysis, segmentation, churn and activation analysis, and causal inference, to uncover not just what happened, but why.</li> <li>Partner directly with senior stakeholders to scope requests, prioritize work, communicate findings, and confidently present analytical recommendations.</li> <li>Ensure data quality by validating datasets, reconciling discrepancies, and identifying limitations related to data availability or privacy requirements.</li> <li>Contribute to the analytics platform by improving documentation, semantic models, coding standards, and best practices that enable the team to scale.</li> <li>Communicate insights through concise dashboards, presentations, and documentation tailored to different audiences.<br></li> </ul><br><p><b>To succeed in this role, you'll need to have:</b></p><br><ul><li><ul> <li>5+ years of experience in data analytics, including at least 2 years operating independently in a senior individual contributor capacity.</li> <li>Background in fintech or banking is strongly preferred.</li> <li>Advanced SQL with strong understanding of complex datasets and multi-row relationships.</li> <li>Experience with cloud data warehouses such as BigQuery (preferred), Snowflake, or Redshift.</li> <li>Strong experience building governed BI solutions in Looker/LookML or comparable platforms such as Tableau or Power BI.</li> <li>Experience with dbt or similar data transformation frameworks.</li> <li>Working knowledge of Python or R for analysis and automation.</li> <li>Strong foundation in statistics, experimentation, and causal analysis (A/B testing, cohort analysis, regression, diff-in-diff, regression discontinuity, etc.).</li> <li>Ability to transform ambiguous business questions into well-scoped analytical projects.</li> <li>Strong analytical judgment and methodological rigor.</li> <li>Excellent stakeholder management and communication skills.</li> <li>Commitment to data quality, governance, and consistent metric definitions.</li> <li>Ability to work autonomously and own projects from problem definition through delivery.</li> </ul></li></ul><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Data Analyst, you'll play a key role in supporting Finance and the wider business with reliable reporting and meaningful insights. You'll improve existing reports, build new dashboards, and help stakeholders understand the story behind the numbers. Reporting &amp; Analytics Build, maintain and improve Power BI dashboards and reports for Finance and other business functions. Deliver reporting on key business metrics such as ARR, MRR, profitability, ROI and customer performance. Translate business questions into clear reports and visualizations that support data-driven decision making. Continuously improve existing reports by making them more user-friendly, accurate and actionable. Data Management Build and maintain data models using Power Query. Combine and transform data from multiple business systems, including Microsoft Dynamics 365 Business Central, CRM and billing platforms. Ensure reporting is based on consistent, reliable and well-understood data. Act as the technical owner of Microsoft Dynamics 365 Business Central within Finance, supporting reporting improvements, system enhancements, and data quality initiatives. Work closely with IT and Data Engineering to understand data sources and improve data quality where needed. Business Partnering Collaborate with Finance, Customer Success and other departments to understand reporting needs. Explain calculations, KPIs and data sources to business stakeholders in a clear and accessible way. Support ad hoc analyses and provide insights that help improve business performance. Stay curious about new technologies, including Microsoft 365 Copilot and AI-powered productivity tools, and explore how they can help simplify Finance workflows.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>3-5 years of experience as a Data Analyst, BI Analyst or in a similar analytics role. Strong hands-on experience with both Power BI and Power Query is required. Experience working with financial or operational reporting. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central. Strong analytical skills and the ability to translate complex data into meaningful business insights. (Near) native English and excellent communication skills with the confidence to explain reports, calculations and data to non-technical stakeholders. A proactive mindset with the ability to work independently and take ownership of reporting.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>What you'll be doing As a Data Analyst, you'll play a key role in supporting Finance and the wider business with reliable reporting and meaningful insights. You'll improve existing reports, build new dashboards, and help stakeholders understand the story behind the numbers. Reporting &amp; Analytics Build, maintain and improve Power BI dashboards and reports for Finance and other business functions. Deliver reporting on key business metrics such as ARR, MRR, profitability, ROI and customer performance. Translate business questions into clear reports and visualizations that support data-driven decision making. Continuously improve existing reports by making them more user-friendly, accurate and actionable. Data Management Build and maintain data models using Power Query. Combine and transform data from multiple business systems, including Microsoft Dynamics 365 Business Central, CRM and billing platforms. Ensure reporting is based on consistent, reliable and well-understood data. Act as the technical owner of Microsoft Dynamics 365 Business Central within Finance, supporting reporting improvements, system enhancements, and data quality initiatives. Work closely with IT and Data Engineering to understand data sources and improve data quality where needed. Business Partnering Collaborate with Finance, Customer Success and other departments to understand reporting needs. Explain calculations, KPIs and data sources to business stakeholders in a clear and accessible way. Support ad hoc analyses and provide insights that help improve business performance. Stay curious about new technologies, including Microsoft 365 Copilot and AI-powered productivity tools, and explore how they can help simplify Finance workflows.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>3-5 years of experience as a Data Analyst, BI Analyst or in a similar analytics role. Strong hands-on experience with both Power BI and Power Query is required. Experience working with financial or operational reporting. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central. Strong analytical skills and the ability to translate complex data into meaningful business insights. (Near) native English and excellent communication skills with the confidence to explain reports, calculations and data to non-technical stakeholders. A proactive mindset with the ability to work independently and take ownership of reporting.</p><p></p></section>

<p><h4>Who we are</h4> <p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <p>#VOIS #BeUnrivalled #CreateTheFuture</p> <h4>About this role</h4> <p>We are seeking a senior data engineer to design, build, and optimise scalable data solutions that enable effective use of large datasets. This role focuses on improving data systems, ensuring data quality and accessibility, and supporting informed decision-making across the business through reliable data platforms and insights.</p> <h4>What you’ll do</h4> <ul> <li>Analyse and manage raw data across existing data collection systems, recommending improvements and enhancements</li> <li>Design, build, and implement new data collection and processing systems where required</li> <li>Ensure data systems are secure, scalable, and accessible to relevant stakeholders</li> <li>Maintain and document code for future upgrades, enhancements, and system maintenance</li> <li>Provide guidance, training, and support to stakeholders on newly implemented systems</li> </ul> <h4>Who you are</h4> <ul> <li>Bachelor’s degree in computer science, engineering, or a related field</li> <li>Proven experience (5+ years) in a similar data engineering role</li> <li>Strong expertise in data management (ETL), data modelling, visualisation tools (e.g., Tableau, Power BI), and data pipeline development</li> <li>Proficiency in SQL and experience in programming languages such as Python or Java</li> <li>Experience with Linux environments, shell scripting, and big data tools such as Hadoop and Spark</li> <li>Familiarity with cloud platforms (preferably AWS or GCP), data governance, and warehousing solutions</li> <li>Strong analytical thinking, problem-solving ability, and attention to detail</li> <li>Effective communication and stakeholder engagement skills</li> </ul> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <ul> <li>Opportunity to work on large-scale, global data platforms and advanced analytics solutions</li> <li>Exposure to modern data technologies, cloud infrastructure, and big data ecosystems</li> <li>A collaborative environment that encourages innovation, learning, and continuous improvement</li> <li>Opportunities to contribute to high-impact business decisions through data-driven insights</li> </ul> <h4>What skills you will learn</h4> <ul> <li>Advanced data engineering techniques and scalable system design</li> <li>Hands-on experience with cloud-based data platforms and big data tools</li> <li>Data governance, security, and compliance practices in enterprise environments</li> <li>Stakeholder engagement and translating business needs into technical solutions</li> </ul> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> <h4>Alert</h4> <p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Job Description:</p><br><p><b><span>Data and AI Governance Lead</span></b></p><br><br><p><b><span>Egypt&nbsp;</span></b></p><br><br><p><b><span>Full Time&nbsp;</span></b></p><br><br><p><b><span>We make health happen:</span></b><span><span>The Data &amp; AI Governance Lead will work with both Business and IT stakeholders to ensure comprehensive BG’s delivery against our BGIUK Data Governance and RAI</span></span><br><span><span>Policies and frameworks to</span><span>determine</span><span>the scope,</span><span>controls</span><span>and implementation pathways for Bupa Global. The role holder will work with IT and business partners to develop and deliver Data and AI Governance solutions (policy, technology, process, and organisation) that satisfy the</span></span><br><span><span>requirements. The Data &amp; AI Governance Lead will work within the Transformation and Change function, reporting into the Head of Data.</span></span></p><br><br><p><b><span>How</span><span>you’ll</span><span>help us make health happen:</span></b></p><br><br><ul><li><span><span>You will lead Data Governance and AI reporting, responding to internal and external requests while managing associated risk registers.</span></span></li></ul><br><ul><li><span><span>You will define, implement, and</span><span>maintain</span><span>the Data &amp; AI Governance Framework,</span><span>establishing</span><span>policies and standards across data quality, metadata, privacy, and lifecycle management, aligned to regulatory and business requirements.</span></span></li></ul><br><ul><li><span><span>You will own the Data Governance Operating Model, defining roles across data owners and stewards and embedding effective processes for stewardship, issue resolution, and change management.</span></span></li></ul><br><ul><li><span><span>Driving data quality will be a key focus, including defining KPIs, implementing monitoring and reporting, and working with stakeholders to resolve issues. You will also oversee metadata and data cataloguing, ensuring</span><span>accurate</span><span>definitions, lineage, and classifications.</span></span></li></ul><br><ul><li><span><span>You will manage data access, privacy, and compliance, working closely with security teams, while promoting data literacy through training and guidance across the organisation.</span></span></li></ul><br><ul><li><span><span>You will support strategic data initiatives, ensuring governance is embedded from design through to delivery. You will produce reporting on data health, quality, and compliance, presenting insights to senior stakeholders.</span></span></li></ul><br><ul><li><span><span>You will define and</span><span>maintain</span><span>the AI Governance and Responsible AI Frameworks, ensuring safe and ethical AI use.</span></span></li></ul><br><ul><li><span><span>You will oversee AI risk management,</span><span>identifying</span><span>and mitigating risks such as bias, data leakage, and model vulnerabilities, and conducting risk assessments for AI use cases. You will also manage the AI risk register and governance processes.</span></span></li></ul><br><ul><li><span><span>You will lead cross-functional governance forums, bringing together stakeholders across Legal, Security, Data, and Product. You will continuously improve governance processes, controls, and reporting to support effective risk management and decision-making.</span></span></li></ul><br><p><b><span>Key Skills / Qualifications needed for this role:</span></b></p><br><br><ul><li><span><span>Demonstrable experience in Data and AI Governance, with a solid understanding of frameworks, policies, and best practices.</span></span></li></ul><br><ul><li><span><span>First-class stakeholder engagement skills, with the ability to build strong relationships and influence at all levels of the organisation.</span></span></li></ul><br><ul><li><span><span>Proven experience in risk management, with the ability to</span><span>identify</span><span>, assess, and mitigate risks effectively.</span></span></li></ul><br><ul><li><span><span>Experience working with controls, including the design, implementation, and ongoing assurance of governance and risk frameworks.</span></span></li></ul><br><ul><li><span><span>Hands-on experience developing, implementing, or working with data management and governance tools.</span></span></li></ul><br><ul><li><span><span>Strong analytical, interpersonal, and communication skills, with the ability to present complex concepts clearly both verbally and in writing.</span></span></li></ul><br><ul><li><span><span>Experience within regulated Financial Services is preferred, ideally within Insurance.</span></span></li></ul><br><ul><li><span><span>A background working with data, AI, or data governance is essential, alongside the ability to clearly</span><span>demonstrate</span><span>prior experience in risk or governance-focused roles.</span></span></li></ul><br><p><b><span>Why Bupa</span></b></p><br><br><p><span><span>Bupa Global is the international health insurance division of Bupa. We provide customers who want premium international coverage with products and services to access the healthcare they need anytime, around the world, whether at home or when studying, living,</span><span>travelling</span><span>or working abroad.</span></span><br><br><span><span>Bupa Global has offices around the world including London and Brighton (UK), Dublin (Europe), Miami (USA), Dubai (UAE, in partnership with OIC), Egypt and Hong Kong (China) as well as regional offices in mainland China, Singapore, the Dominican Republic, Bolivia, Panama, Guatemala and Ecuador.</span></span></p><br><br><p>Time Type:</p><br>Full time<p>Job Area:</p><br>IT<p>Locations:</p><br>Egypt - Cairo </div>

<p style=\"text-align:left\"><b>Job Location</b></p>CAIRO BUSINESS OFFICE<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Description</b></p><p>As a Data Scientist at our organization, you will constructively disrupt current Data Science practices and design new and better models that transform current and future business processes. You will be expected to directly contribute to the design and development of scaled Data Science algorithms and work with Data and Software Engineering teams to productionize algorithms. You will apply thorough technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms. You will develop others as a technical coach and lead or actively participate and contribute to a community of practice group. Lastly, you will become a known expert on one or multiple Data Science techniques and quantify improvement in business areas resulting from the use of the algorithms and modeling.</p><p></p><p><b>Key Responsibilities:</b></p><ul><li><p>Directly contribute to the design and development of scaled Data Science algorithms.</p></li><li><p>Work with Data and Software Engineering teams to productionize algorithms.   </p></li><li><p>Apply thorough technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building.</p></li><li><p>Develop others as a technical coach.   </p></li><li><p>Become a known expert on one or multiple Data Science techniques.</p></li></ul><p></p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Qualifications</b></p><ul><li><p>Demonstrates depth of applied IT skills across at least two IT job profiles.</p></li><li><p>Bachelor's degree on Data Science, Actuarial Science, Engineering, Computer Science or any related major.  </p></li><li><p>1 to 3 years of relative experience.</p></li><li><p>Requires at least three relevant roles with experience across domains, OUs, or sub-OUs. </p></li><li><p>Influences senior leaders on key organizational, business, and technology decisions.</p></li><li><p>Sets and executes IT strategy at the P&G OU, service category, major company IT platform, or infrastructure level.     </p></li><li><p>Actively participates in developing others in the function.</p></li></ul><p></p><p><b>ABOUT US</b></p><p>We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Neurobion, Sangobion, Vicks, Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.</p><p></p><p>Visit <a href=\"http://www.pg.com/\" target=\"_blank\">http://www.pg.com</a> to know more.</p><p>We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.</p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Schedule</b></p>Full time<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Number</b></p>R000155123<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Segmentation</b></p>Entry Level

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Envision Employment Solutions is currently looking for a Senior Data Scientist - AI &amp; ML Engineer for one of our partners, a global leader in consulting, digital transformation, technology and engineering services!<br> About: The Senior Data Scientist - AI &amp; ML Engineer will be responsible for delivering end-to-end machine learning solutions, designing scalable AI architectures, and developing Agentic AI applications that drive intelligent automation and business value.<br> Responsibilities: AI &amp; Machine Learning Development Design, develop, and deploy AI and machine learning solutions that address business needs.<br> Build and implement Agentic AI applications using modern AI frameworks.<br> Lead the full machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.<br> Optimize models to improve accuracy, scalability, and performance in production environments.<br> Implement model monitoring, drift detection, and retraining strategies.<br> Data Engineering &amp; MLOps Design scalable data pipelines to support machine learning workloads.<br> Collaborate with data engineers to ensure reliable data ingestion, transformation, and storage.<br> Develop and maintain ML-focused CI/CD pipelines.<br> Implement model versioning, automated testing, and deployment best practices.<br> Support containerized and cloud-native ML deployments.<br> Cloud &amp; Solution Architecture Design AI and ML solutions using cloud platforms such as Azure, AWS, or GCP.<br> Architect scalable infrastructure to support enterprise AI applications.<br> Recommend technology solutions aligned with business and technical requirements.<br> Ensure AI solutions meet security, reliability, and performance standards.<br> Collaboration &amp; Leadership Partner with business stakeholders to understand objectives and translate them into technical solutions.<br> Collaborate with cross-functional teams throughout the solution lifecycle.<br> Mentor junior data scientists and ML engineers.<br> Promote best practices in machine learning, software engineering, and MLOps.<br> Stay informed about emerging AI technologies and industry trends.<br> 6-10 years of experience working with complex datasets and solving real-world business problems using AI Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.<br> Strong proficiency in Python, data science and machine learning libraries (e.<br>g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.<br>g. LangChain, LangGraph).<br> Strong command of SQL and experience with large-scale data processing tools (e.<br>g., Spark, Pandas).<br> Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.<br> Skilled in MLOps practices including CI/CD, containerization (e.<br>g. Docker), and orchestration (Kubernetes).<br> Strong command of Git and collaborative development workflows.<br> Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.<br> Fluent in Arabic &amp; English, both spoken and written (German is a plus!<br>) Able to listen to and understand customer needs and articulate them as technical requirements to the team.<br> Strong problem-solving abilities and attention to detail.<br> Strategic thinking with the ability to align data science initiatives with business objectives.<br> Strong leadership and team management skills with the ability to inspire and motivate.<br> Ability to work collaboratively in a team environment.<br> Self-motivated with a strong growth mindset.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot that s how we refer to this role at Mindrift you ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential. Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required)</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot that s how we refer to this role at Mindrift you ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>What We Do</p><p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project.</p><p>As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p><p>Key Responsibilities:</p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p>Project time expectations</p><p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><p>Compensation</p><p>On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Requirements:</p><ul><li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li><li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li><li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.</li><li>We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.</li><li>A methodical, detail-oriented approach and the ability to work independently are essential.</li><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p><h4>Join us</h4> <p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p> <h4>Role purpose</h4> <p>Vodafone Egypt consumer marketing team seeks a Senior Data Scientist to boost business decisions towards data-driven outcomes.</p> <p>As part of our Data Science team, you will work alongside data scientists, big data engineers, and business stakeholders to define data science use cases, advise and solve complex problems, and be positioned as the local technical expert. You will be responsible for implementing and maintaining use case pipelines, and communicating results to scientists, product managers, and customers.</p> <p>Your work will directly impact millions of our customers in the form of products, services, and offers. You will gain hands-on experience with Vodafone’s huge volume of data and large-scale computing resources.</p> <h4>Key accountabilities</h4> <ul> <li>Identifying business opportunities to make a commercial difference.</li> <li>Leads the development of analytics initiatives to meet business requirements.</li> <li>Translates complex datasets into strategic insights for the business and communicates simply to non-technical audiences, visualising results to create understanding and solution buy-in.</li> <li>Recognised as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms, and data sources.</li> <li>Works closely with technology teams to design, build, test, deploy, maintain, and improve technology solutions and models.</li> <li>Identifies new analytics trends and opportunities to drive the innovation agenda across business functions and advanced analytics.</li> <li>Promotes design thinking and agile methodologies.</li> </ul> <h4>Core competencies</h4> <p>You should be passionate about working with huge data sets and love bringing datasets together to answer business questions. You should have deep expertise in the creation and management of datasets.</p> <p>You should be detail-oriented and have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks, and drive them to completion.</p> <p>Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization.</p> <ul> <li>Strong knowledge of big data technology (e.g., Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, Tableau, GIS).</li> <li>Deep and broad statistical modelling expertise in various domains.</li> <li>Ability to work with cross-functional teams to translate business issues into potential analytics solutions.</li> <li>Excellent analytical and presentation skills.</li> <li>Ability to multitask and work under pressure.</li> <li>Excellent command of English.</li> </ul> <h4>Technical and professional qualifications</h4> <ul> <li>Master’s degree (or equivalent) in quantitative fields like Mathematics, Statistics, Computer Science, or Engineering.</li> <li>Minimum of 3 years of relevant experience with a focus on advanced analytics and predictive modelling.</li> <li>Competent in machine learning principles, deep learning, and generative AI techniques.</li> <li>Proficient in statistical packages and machine learning libraries (e.g., Python SciPy and TensorFlow, Spark MLlib).</li> <li>Familiar with leading visualisation tools (e.g., Tableau, Spotfire, Power BI).</li> <li>Familiar with implementing data transformations and algorithms in common programming languages.</li> <li>Strong communication skills with prior experience communicating analytics results to senior management.</li> </ul> <h4>Who we are</h4> <p>We are a leading international telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology, we empower people, connecting everyone regardless of who they are or where they live, and we protect the planet whilst helping our customers do the same.</p> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds, and cultures. We're committed to increasing diversity, ensuring equal representation, and making Vodafone a place everyone feels safe, valued, and included.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br><br><p><b>Responsibilities</b></p><br><ul> <li>Collaborate with marketing teams to analyze marketing performance metrics, including attribution, audience targeting effectiveness, campaign ROI, and user engagement metrics.</li> <li>Utilize data analysis skills, along with a deep understanding of marketing principles, to identify opportunities for improving marketing strategies and tactics.</li> <li>Work cross-functionally with Product, Engineering, Research, and other teams to integrate marketing data into overall business strategy and product development processes.</li> <li>Serve as a data ambassador, promoting a data-driven marketing culture within the organization.</li> <li>Influence marketing strategy and execution by providing data-driven insights and recommendations to key stakeholders.</li> <li>Partner with Engineering to ensure the collection of relevant data for informed decision-making and optimization of marketing efforts.</li> <li>Develop and implement hypotheses for optimizing marketing performance, employing rigorous analytical approaches and methodologies.</li> <li>Communicate insights and recommendations effectively through data-driven storytelling, influencing stakeholders to make data-informed decisions.<br></li> </ul><br><p><b>Requirements</b></p><br><ul> <li>Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.</li> <li>A minimum experience of 5 years in analytics in an app marketing environment, including a track record of leveraging attribution tools and analytics to define marketing strategies and of defining tracking plans for marketing campaigns.</li> <li>Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li> <li>Language skills : French and English (fluent) , Arabic is an advantage<br></li> </ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br> <p><span>Yassir is seeking a highly skilled and motivated Senior Data Scientist, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems.</span></p><br> <br><br><p><b>About the Team</b></p><br><ul><li>The AI team is part of Yassir’s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!<br></li></ul><br><p><b>Responsibilities</b></p><br><ul> <li> <p>Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it.</p><br> </li> <li> <p>Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others.</p><br> </li> <li> <p>Identify and propose ML opportunities related to your scope and beyond</p><br> </li> <li> <p>Support with requirements definition and prioritization of ML projects</p><br> </li> <li> <p>Collaborate with cross-functional Engineering and Product teams</p><br> </li> <li> <p>Champion Data Quality as a critical input component to all ML solutions and Analytics</p><br> </li> <li> <p>Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering</p><br> </li> <li> <p>Utilize Statistical and ML techniques, as appropriate, for model training</p><br> </li> <li> <p>Validate and tune ML models</p><br> </li> <li> <p>Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights</p><br> </li> <li> <p>Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift</p><br> </li> <li> <p>Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting</p><br> </li> <li> <p>Maintain and improve technical documentation of delivered solutions</p><br> </li> <li> <p>Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams</p><br> </li> <li> <p>Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities</p><br> <br></li> </ul><br><p><b>Key Requirements - Essential</b></p><br><ul> <li><ul> <li> <p><span>Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics</span></p><br> </li> <li> <p><span>Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)</span></p><br> </li> <li> <p><span>Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices.</span></p><br> </li> <li> <p><span>Comfortable with key Statistical concepts, such as statistical testing and causal analysis</span></p><br> </li> <li> <p><span>Analytical thinking and problem solving skills</span></p><br> </li> <li> <p><span>Engineering mindset focused towards delivering robust applied data science solutions</span></p><br> </li> <li> <p><span>Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling</span></p><br> </li> <li> <p><span>Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred</span></p><br> </li> <li> <p><span>Mastering of the end-to-end (ML) model development lifecycle</span></p><br> </li> <li> <p><span>Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English</span></p><br> </li> <li> <p><span>Positive attitude and resilience</span></p><br> </li> <li> <p><span>Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building</span></p><br> </li> <li> <p><span>Internal drive, self-motivation and ability to work independently including own effective project management</span></p><br> </li> </ul><br></li></ul><br><p><b>Nice to have</b></p><br><ul> <li><ul> <li> <p><span>Experience with Financial Services companies</span></p><br> </li> <li> <p><span>Experience working on ML features for Digital Products (apps, websites)</span></p><br> </li> <li> <p><span>Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects</span></p><br> </li> </ul><br></li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><em>At Sana Commerce, we’re committed to creating an inclusive environment because we know our diverse workforce is one of our greatest strengths.</em>&nbsp;</p><br><p>We're on a mission to transform the way B2B companies buy and sell. Built for manufacturers, distributors, and wholesalers running SAP or Microsoft Dynamics, our platform helps customers create seamless digital buying experiences powered by their ERP.</p><br><p>We're&nbsp;looking for a Data Analyst to join our Finance team. In this role,&nbsp;you'll&nbsp;transform financial and operational data into clear, actionable insights that help our business make better decisions. Working closely with FP&amp;A,&nbsp;Professional Services, Customer&nbsp;Success&nbsp;and other business teams,&nbsp;you'll&nbsp;own reporting,&nbsp;creating&nbsp;and&nbsp;improving&nbsp;dashboards, and help make our data easier to understand and trust.</p><br><br>Job Description<br><p><strong>What you'll be doing</strong></p><br><p>As a Data Analyst,&nbsp;you'll&nbsp;play a key role in supporting Finance and the wider business with reliable reporting and meaningful insights.&nbsp;You'll&nbsp;improve existing reports, build new dashboards, and help stakeholders understand the story behind the numbers.&nbsp;</p><br><p><em>Reporting &amp; Analytics&nbsp;</em></p><br><ul><li>Build,&nbsp;maintain&nbsp;and improve Power BI dashboards and reports for Finance and other business functions.&nbsp;</li><li>Deliver reporting on key business metrics such as ARR, MRR, profitability,&nbsp;ROI&nbsp;and customer performance.&nbsp;</li><li>Translate business questions into clear reports and visualizations that support data-driven decision making.&nbsp;</li><li>Continuously improve existing reports by making them more user-friendly,&nbsp;accurate&nbsp;and actionable.&nbsp;</li></ul><p><em>Data Management&nbsp;</em></p><br><ul><li>Build and&nbsp;maintain&nbsp;data models using Power Query.&nbsp;</li><li>Combine and transform data from multiple business systems, including Microsoft Dynamics 365 Business Central,&nbsp;CRM&nbsp;and billing platforms.&nbsp;</li><li>Ensure reporting is based on consistent,&nbsp;reliable&nbsp;and well-understood data.&nbsp;</li><li>Act as the technical owner of Microsoft Dynamics 365 Business Central within Finance, supporting reporting improvements, system enhancements, and data quality initiatives.&nbsp;</li><li>Work closely with IT and Data Engineering to understand data sources and improve data quality where needed.&nbsp;</li></ul><p><em>Business Partnering&nbsp;</em></p><br><ul><li>Collaborate with Finance, Customer&nbsp;Success&nbsp;and other departments to understand reporting needs.&nbsp;</li><li>Explain calculations,&nbsp;KPIs&nbsp;and data sources to business stakeholders in a clear and accessible way.&nbsp;</li><li>Support ad hoc analyses and provide insights that help improve business performance.&nbsp;</li><li>Stay curious about&nbsp;new technologies, including Microsoft 365 Copilot and AI-powered productivity tools, and explore how they can help simplify Finance workflows.&nbsp;</li></ul><br>Qualifications<br><p><strong>What&nbsp;you'll&nbsp;bring&nbsp;</strong></p><br><ul><li>3-5 years of experience as a Data Analyst, BI Analyst or in a similar analytics role.&nbsp;</li><li>Strong hands-on experience with both <strong>Power BI and Power Query</strong>&nbsp;is&nbsp;required.&nbsp;</li><li>Experience working with financial or operational reporting.&nbsp;</li><li>Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central.&nbsp;</li><li>Strong analytical skills and the ability to translate complex data into meaningful business insights.&nbsp;</li><li>(Near)&nbsp;native English&nbsp;and&nbsp;excellent&nbsp;communication skills with the confidence to explain reports,&nbsp;calculations&nbsp;and data to non-technical stakeholders.&nbsp;</li><li>A proactive mindset with the ability to work independently and take ownership of reporting.&nbsp;</li></ul><br>Additional Information<br><p><strong>Why&nbsp;you'll&nbsp;love working here&nbsp;</strong></p><br><ul><li><strong>Make an impact</strong>&nbsp;– Own reporting that directly influences business decisions across Finance and other departments.&nbsp;</li><li><strong>Grow your&nbsp;expertise&nbsp;</strong>– Expand your skills across business analytics, financial reporting and modern data tools while working alongside experienced Finance and Data professionals.&nbsp;</li><li><strong>Hybrid flexibility</strong>&nbsp;– Work from our Alexandria office three days per week and from home two days.&nbsp;</li><li><strong>Shape the future</strong>&nbsp;– Join us as we continue to invest in and grow our Alexandria office, helping to improve reporting, automate processes, and build smarter ways of working across the business.&nbsp;</li></ul><p><strong>Our values&nbsp;</strong></p><br><p>At Sana Commerce, our values guide everything we do:&nbsp;</p><br><ul><li><strong>Champions of Our League</strong>&nbsp;– We balance quick wins with long-term success.&nbsp;</li><li><strong>Supercharge Our Customers&nbsp;</strong>– We help our customers succeed by continuously improving their digital commerce experience.&nbsp;</li><li><strong>Determined to Grow</strong>&nbsp;– We embrace challenges and keep raising the bar.&nbsp;</li><li><strong>Bold Together</strong>&nbsp;– We achieve more by supporting one another.&nbsp;</li></ul><p>Ready to turn data into meaningful business insights?&nbsp;We'd&nbsp;love to hear from you.&nbsp;</p><br><p>Job descriptions can be tough to interpret. Even if you may not tick all the boxes, please explain your motivation for the role of Data Analyst in a cover letter, we strongly encourage you to apply if you still feel like you are a great match for this role. <strong>Apply now!</strong>&nbsp;</p><br><br><br> </div>

المهام المطلوبة:<br>

<p><h4>Join us</h4> <p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p> <h4>Role purpose</h4> <p>Vodafone Egypt consumer marketing team seeks a lead data scientist to boost business’s decisions towards data-driven decision making.</p> <p>As part of our data science team, you will work alongside data scientists, big data engineers, and business stakeholders to define data science use cases, advise and solve complex problems, and be positioned as the local technical expert. You will be responsible for implementing and maintaining use case pipelines, and communicating results to scientists, product managers, and customers.</p> <p>Your work will directly impact millions of our customers in the form of products, services, and offers. You will gain hands-on experience with Vodafone’s huge volume of data and large-scale computing resources.</p> <h4>Job profile</h4> <ul> <li>Mentor a team of data scientists.</li> <li>Identify business opportunities to make a commercial difference.</li> <li>Lead the development of analytics initiatives to meet business requirements.</li> <li>Translate complex datasets into strategic insights for the business and communicate simply to non-technical audiences, visualizing results to create understanding and solution buy-in.</li> <li>Be recognized as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms, and data sources.</li> <li>Work closely with technology teams to design, build, test, deploy, maintain, and improve technology solutions and models.</li> <li>Identify new analytics trends and opportunities to drive the innovation agenda across business functions and advanced analytics.</li> <li>Promote design thinking and agile methodologies.</li> </ul> <h4>Competencies and qualifications</h4> <ul> <li>Be passionate about working with huge data sets and love bringing datasets together to answer business questions. Have deep expertise in creation and management of datasets.</li> <li>Be detail-oriented with an aptitude for solving unstructured problems. Work in a self-directed environment, own tasks, and drive them to completion.</li> <li>Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization.</li> <li>Strong knowledge of big data technology (e.g., Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, Tableau, GIS).</li> </ul> <h4>Core competencies, knowledge and experience</h4> <ul> <li>Passion for working with large data sets and bringing datasets together to answer business questions with deep expertise in dataset creation and management.</li> <li>Detail-oriented with aptitude for solving unstructured problems, working independently, owning tasks, and driving them to completion.</li> <li>Ability to test hypotheses from raw data sets, draw meaningful conclusions, and communicate results effectively verbally, in writing, and through visualization.</li> <li>Strong knowledge of big data technologies such as Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, Tableau, and GIS.</li> <li>Deep and broad statistical modelling expertise in various domains.</li> <li>Ability to work with cross-functional teams to translate business issues into potential analytics solutions.</li> <li>Excellent analytical and presentation skills.</li> <li>Ability to multitask under pressure.</li> <li>Excellent command of English.</li> </ul> <h4>Must have technical / professional qualifications</h4> <ul> <li>Master’s degree (or equivalent) in quantitative fields like mathematics, statistics, computer science, or engineering.</li> <li>Minimum of 5 years of relevant experience with a focus on advanced analytics and predictive modelling.</li> <li>Competent in machine learning principles, deep learning, and generative AI techniques.</li> <li>Proficient in statistical packages and machine learning libraries (e.g., Python SciPy and TensorFlow, Spark MLlib).</li> <li>Familiar with leading visualization tools (e.g., Tableau, Spotfire, Power BI).</li> <li>Familiar with implementing data transformations and algorithms in common programming languages.</li> <li>Strong communication skills with prior experience communicating analytics results to senior management.</li> </ul> <h4>Not a perfect fit?</h4> <p>Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p> <h4>Who we are</h4> <p>We are a leading international telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live, and we protect the planet whilst helping our customers do the same.</p> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds, and cultures. We're committed to increasing diversity, ensuring equal representation, and making Vodafone a place everyone feels safe, valued, and included.</p> <p>If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to the relevant guidance provided by Vodafone.</p> <p><strong>Together we can.</strong></p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><em>At Sana Commerce, we’re committed to creating an inclusive environment because we know our diverse workforce is one of our greatest strengths.</em>&nbsp;</p><br><p>We're on a mission to transform the way B2B companies buy and sell. Built for manufacturers, distributors, and wholesalers running SAP or Microsoft Dynamics, our platform helps customers create seamless digital buying experiences powered by their ERP.</p><br><p>We're&nbsp;looking for a Data Analyst to join our Finance team. In this role,&nbsp;you'll&nbsp;transform financial and operational data into clear, actionable insights that help our business make better decisions. Working closely with FP&amp;A,&nbsp;Professional Services, Customer&nbsp;Success&nbsp;and other business teams,&nbsp;you'll&nbsp;own reporting,&nbsp;creating&nbsp;and&nbsp;improving&nbsp;dashboards, and help make our data easier to understand and trust.</p><br><br>Job Description<br><p><strong>What you'll be doing</strong></p><br><p>As a Data Analyst,&nbsp;you'll&nbsp;play a key role in supporting Finance and the wider business with reliable reporting and meaningful insights.&nbsp;You'll&nbsp;improve existing reports, build new dashboards, and help stakeholders understand the story behind the numbers.&nbsp;</p><br><p><em>Reporting &amp; Analytics&nbsp;</em></p><br><ul><li>Build,&nbsp;maintain&nbsp;and improve Power BI dashboards and reports for Finance and other business functions.&nbsp;</li><li>Deliver reporting on key business metrics such as ARR, MRR, profitability,&nbsp;ROI&nbsp;and customer performance.&nbsp;</li><li>Translate business questions into clear reports and visualizations that support data-driven decision making.&nbsp;</li><li>Continuously improve existing reports by making them more user-friendly,&nbsp;accurate&nbsp;and actionable.&nbsp;</li></ul><p><em>Data Management&nbsp;</em></p><br><ul><li>Build and&nbsp;maintain&nbsp;data models using Power Query.&nbsp;</li><li>Combine and transform data from multiple business systems, including Microsoft Dynamics 365 Business Central,&nbsp;CRM&nbsp;and billing platforms.&nbsp;</li><li>Ensure reporting is based on consistent,&nbsp;reliable&nbsp;and well-understood data.&nbsp;</li><li>Act as the technical owner of Microsoft Dynamics 365 Business Central within Finance, supporting reporting improvements, system enhancements, and data quality initiatives.&nbsp;</li><li>Work closely with IT and Data Engineering to understand data sources and improve data quality where needed.&nbsp;</li></ul><p><em>Business Partnering&nbsp;</em></p><br><ul><li>Collaborate with Finance, Customer&nbsp;Success&nbsp;and other departments to understand reporting needs.&nbsp;</li><li>Explain calculations,&nbsp;KPIs&nbsp;and data sources to business stakeholders in a clear and accessible way.&nbsp;</li><li>Support ad hoc analyses and provide insights that help improve business performance.&nbsp;</li><li>Stay curious about&nbsp;new technologies, including Microsoft 365 Copilot and AI-powered productivity tools, and explore how they can help simplify Finance workflows.&nbsp;</li></ul><br>Qualifications<br><p><strong>What&nbsp;you'll&nbsp;bring&nbsp;</strong></p><br><ul><li>3-5 years of experience as a Data Analyst, BI Analyst or in a similar analytics role.&nbsp;</li><li>Strong hands-on experience with both <strong>Power BI and Power Query</strong>&nbsp;is&nbsp;required.&nbsp;</li><li>Experience working with financial or operational reporting.&nbsp;</li><li>Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central.&nbsp;</li><li>Strong analytical skills and the ability to translate complex data into meaningful business insights.&nbsp;</li><li>(Near)&nbsp;native English&nbsp;and&nbsp;excellent&nbsp;communication skills with the confidence to explain reports,&nbsp;calculations&nbsp;and data to non-technical stakeholders.&nbsp;</li><li>A proactive mindset with the ability to work independently and take ownership of reporting.&nbsp;</li></ul><br>Additional Information<br><p><strong>Why&nbsp;you'll&nbsp;love working here&nbsp;</strong></p><br><ul><li><strong>Make an impact</strong>&nbsp;– Own reporting that directly influences business decisions across Finance and other departments.&nbsp;</li><li><strong>Grow your&nbsp;expertise&nbsp;</strong>– Expand your skills across business analytics, financial reporting and modern data tools while working alongside experienced Finance and Data professionals.&nbsp;</li><li><strong>Hybrid flexibility</strong>&nbsp;– Work from our Alexandria office three days per week and from home two days.&nbsp;</li><li><strong>Shape the future</strong>&nbsp;– Join us as we continue to invest in and grow our Alexandria office, helping to improve reporting, automate processes, and build smarter ways of working across the business.&nbsp;</li></ul><p><strong>Our values&nbsp;</strong></p><br><p>At Sana Commerce, our values guide everything we do:&nbsp;</p><br><ul><li><strong>Champions of Our League</strong>&nbsp;– We balance quick wins with long-term success.&nbsp;</li><li><strong>Supercharge Our Customers&nbsp;</strong>– We help our customers succeed by continuously improving their digital commerce experience.&nbsp;</li><li><strong>Determined to Grow</strong>&nbsp;– We embrace challenges and keep raising the bar.&nbsp;</li><li><strong>Bold Together</strong>&nbsp;– We achieve more by supporting one another.&nbsp;</li></ul><p>Ready to turn data into meaningful business insights?&nbsp;We'd&nbsp;love to hear from you.&nbsp;</p><br><p>Job descriptions can be tough to interpret. Even if you may not tick all the boxes, please explain your motivation for the role of Data Analyst in a cover letter, we strongly encourage you to apply if you still feel like you are a great match for this role. <strong>Apply now!</strong>&nbsp;</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>JOB TITLE</strong><br>Data Privacy Specialist | MAF Entertainment | Legal<br><strong>ROLE SUMMARY</strong><br>This role supports the Privacy Officer in implementing, monitoring, and enhancing the organization’s data protection framework. This role is operational and cross‑functional, ensuring privacy compliance and assisting functions where needed. The role will handle assessments, support privacy operations, manage records, coordinate with system and data owners, and help ensure compliance with applicable privacy laws (UAE PDPL, Egypt PDPL, GDPR, etc.).<br><strong>ROLE PROFILE</strong></p><br><br><ul><li>Implement and support the organization's data privacy framework, policies, and guidance.</li><li>Identify, assess, monitor, and mitigate personal data protection and privacy risks.</li><li>Drive data privacy compliance, ethics initiatives, and coordination across business functions.</li><li>Conduct privacy assessments, including DPIAs, IDPAs, vendor due diligence, transfer impact assessments, and contract reviews.</li><li>Manage Data Subject Requests (DSRs) such as access, deletion, correction, and consent withdrawal.</li><li>Maintain privacy governance activities including ROPAs, data mapping, consent management, and privacy operational tools.</li><li>Act as a privacy subject matter expert, supporting stakeholders, regulatory interactions, and business development projects.</li><li>Deliver privacy training, support breach and incident management, and contribute to reporting, forums, and continuous improvement initiatives.</li></ul><p><br><strong>REQUIREMENTS</strong></p><br><br><ul><li>Bachelor's degree in Law, Compliance, Information Security, Business, or a related field is preferred.</li><li>1-3 years of experience in Data Privacy, PDPL (UAE &amp; Egypt), GDPR, and related regulatory frameworks.</li><li>Experience using privacy management platforms such as Securiti.ai, OneTrust, or equivalent tools.</li><li>Strong knowledge of privacy assessments, ROPA documentation, data discovery, and third-party privacy risk evaluations.</li><li>Understanding of privacy contracts and frameworks, including DPAs, TIAs, SCCs, DSAs, MSAs, PIAs, and service agreements.</li><li>Strong stakeholder management, problem-solving, cross-functional collaboration skills, and privacy certifications (CIPP/E, CIPP/M, or CIPT) are an advantage.</li></ul><br> <br> </div>