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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Job Overview</b></p><p>We are seeking a skilled Data Security &amp; Privacy Engineer with 3 11+ years of experience to design, implement, and manage enterprise data security and privacy solutions. The ideal candidate will have strong expertise in identity and access management, data protection technologies, encryption, security monitoring, and privacy controls across cloud environments. This role will be responsible for ensuring the confidentiality, integrity, and availability of enterprise data while supporting regulatory compliance and security best practices.</p><p>Key Responsibilities</p><ul><li>Design and implement data security and privacy controls across enterprise environments.</li><li>Manage identity and access management (IAM) solutions across cloud platforms.</li><li>Implement data protection strategies including encryption, masking, and data loss prevention.</li><li>Configure and manage security monitoring and threat detection solutions.</li><li>Support security assessments, audits, and compliance initiatives.</li><li>Define and enforce data security policies, standards, and best practices.</li><li>Collaborate with cloud, infrastructure, application, and data teams to secure enterprise data assets.</li><li>Monitor security events, investigate incidents, and support remediation activities.</li><li>Implement secure data handling practices throughout the data lifecycle.</li><li>Support privacy initiatives including sensitive data discovery, classification, and protection.</li><li>Continuously evaluate emerging security threats and recommend improvements.</li></ul><p>Required Technical Skills</p><p>Identity &amp; Access Management (IAM)</p><ul><li>Hands-on experience with GCP IAM or Azure IAM or AWS IAM .</li><li>Strong understanding of identity governance, authentication, authorization, roles, permissions, and access controls.</li><li>Experience implementing least privilege access models and access management best practices.</li></ul><p>Data Protection &amp; Privacy</p><ul><li>Experience with Data Loss Prevention (DLP) solutions.</li><li>Strong understanding of data classification, sensitive data protection, and privacy controls.</li><li>Experience implementing data security policies and compliance requirements.</li></ul><p>Encryption &amp; Key Management</p><ul><li>Strong experience with Encryption and Key Management Services (KMS) .</li><li>Knowledge of encryption standards, key lifecycle management, certificate management, and cryptographic best practices.</li><li>Experience securing data at rest, in transit, and during processing.</li></ul><p>Data Masking &amp; Protection</p><ul><li>Experience implementing Data Masking techniques for protecting sensitive information.</li><li>Understanding of tokenization, anonymization, and privacy-enhancing technologies.</li></ul><p>Security Monitoring &amp; SIEM</p><ul><li>Hands-on experience with Splunk or Microsoft Sentinel for security monitoring and incident detection.</li><li>Experience analyzing security events, alerts, logs, and threat intelligence data.</li><li>Knowledge of SIEM use cases, dashboards, and security investigations.</li></ul><p>Qualifications</p><ul><li>Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or a related field.</li><li>3 11+ years of experience in Data Security, Cloud Security, Information Security, or Privacy Engineering.</li><li>Strong understanding of cloud security principles and enterprise security architecture.</li><li>Excellent analytical, troubleshooting, and communication skills.</li><li>Experience working with cross-functional security and technology teams.</li></ul><p>Preferred Skills</p><ul><li>Experience with cloud security frameworks and compliance standards.</li><li>Knowledge of privacy regulations and data protection requirements.</li><li>Familiarity with security automation and incident response processes.</li><li>Experience securing data platforms, analytics environments, and cloud-native applications.</li><li>Security certifications such as CISSP, CCSP, Security+, or cloud security certifications are a plus.</li></ul><p>Key Technology Stack</p><ul><li>Cloud IAM: GCP IAM or Azure IAM or AWS IAM</li><li>Data Protection: DLP and Data Classification and Privacy Controls</li><li>Encryption &amp; Security: Encryption and KMS and Key Lifecycle Management</li><li>Data Privacy: Data Masking and Tokenization and Sensitive Data Protection</li><li>Security Monitoring: Splunk or Microsoft Sentinel</li><li>Security Operations: SIEM Monitoring and Threat Detection and Incident Response</li><li>Cloud Security: Cloud Security Controls and Access Governance and Compliance Management</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or a related field.</p><p>3 11+ years of experience in Data Security, Cloud Security, Information Security, or Privacy Engineering.</p><p>Strong understanding of cloud security principles and enterprise security architecture.</p><p>Excellent analytical, troubleshooting, and communication skills.</p><p>Experience working with cross-functional security and technology teams.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Our Company Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment.</p><p>What You ll Do</p><p>What the role is about: As a Senior Data Scientist at Teradata, you will lead data science projects, develop predictive models, and provide actionable insights to support strategic business initiatives. You will leverage your expertise in data analysis, machine learning, and statistical modeling to drive impactful solutions.</p><p>What impact this role has: Your work will directly influence business decisions, optimize operations, and drive innovation. By uncovering trends and patterns in data, you will help Teradata stay ahead in the competitive landscape and deliver exceptional value to our clients.</p><p>What success might look like: Success in this role means delivering high-quality data science solutions that meet business needs, mentoring junior team members, and continuously improving our data science practices. You will be recognized for your ability to translate complex data into actionable insights and for driving measurable business outcomes.</p><p>Who You ll Work With</p><p>An outline of the team: You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, and business stakeholders both internally and externally. The team is dedicated to leveraging data to solve complex problems and drive business growth.</p><p>The role and the team play at Teradata: The data science team at Teradata plays a crucial role in transforming data into strategic assets. Your contributions will help shape the direction of our data initiatives and ensure we deliver cutting-edge solutions to our clients.</p><p>Who the position reports to: This position reports to the Data Science Team Manager.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum of 5 years of experience in data science or analytics.</li><li>Proficiency in programming languages such as Python and SQL.</li><li>Strong understanding of statistical methods and machine learning techniques.</li><li>Proficiency in advanced deep learning algorithms and GenAI</li><li>Excellent communication and presentation skills.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the Role &amp; Team</p><p>IDC is seeking a Data Analyst to join our SW Data team , motivated to learn about the Software domain, market research and data analysis, to join our Software Data team. If you are passionate about technology, eager to explore market trends, and ready to develop your analytical and technical skills, we offer the perfect platform for your professional growth. Our team is committed to nurturing talent, providing extensive training, and supporting long-term career development.</p><p>What You ll Do</p><ul><li>Market Research: Conduct primary and secondary research focused on the software market.</li><li>Industry Analysis: Support and deliver industry and technology research for qualitative and data-focused products in a global team.</li><li>Data Management: Engage in data management, transformation, and modelling. Develop your skills in data visualization to turn complex information into actionable insights. Utilize quantitative tools for market sizing and forecasting.</li><li>Consulting Support: Assist in specific consulting projects, contributing to bespoke client solutions.</li><li>Industry Expertise: Develop and maintain thorough knowledge of vendor strategies and key market dynamics within key Software areas.</li><li>Collaboration: Work with regional and global teams to leverage diverse perspectives.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>2+ years of experience in market research, data analytics, or other relevant experience</li><li>Bachelor's degree in Economics, Statistics, Information Sciences, Social Sciences, or a related field</li><li>Strong analytical thinking with a creative approach to problem-solving and data analysis</li><li>Strong English written and verbal communication skills</li><li>Advanced Microsoft Excel skills required; proficiency in Power BI are a plus</li><li>Familiarity and interest in growing expertise with GenAI tools</li><li>Ability to use Python for data analysis is a plus</li></ul><p></p></section>

<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>

Our Company<br><br>Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. <br><br>The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. <br><br>What You’ll Do<br><br>What the role is about: As a Senior Data Scientist at Teradata, you will lead data science projects, develop predictive models, and provide actionable insights to support strategic business initiatives. You will leverage your expertise in data analysis, machine learning, and statistical modeling to drive impactful solutions. What impact this role has: Your work will directly influence business decisions, optimize operations, and drive innovation. By uncovering trends and patterns in data, you will help Teradata stay ahead in the competitive landscape and deliver exceptional value to our clients. What success might look like: Success in this role means delivering high-quality data science solutions that meet business needs, mentoring junior team members, and continuously improving our data science practices. You will be recognized for your ability to translate complex data into actionable insights and for driving measurable business outcomes. <br><br>Who You’ll Work With<br><br>An outline of the team: You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, and business stakeholders both internally and externally. The team is dedicated to leveraging data to solve complex problems and drive business growth. The role and the team play at Teradata: The data science team at Teradata plays a crucial role in transforming data into strategic assets. Your contributions will help shape the direction of our data initiatives and ensure we deliver cutting-edge solutions to our clients. Who the position reports to: This position reports to the Data Science Team Manager. <br><br>What Makes You a Qualified Candidate<br><br>Non-negotiable qualifications:<br><br>Minimum of 5 years of experience in data science or analytics. Proficiency in programming languages such as Python and SQL. Strong understanding of statistical methods and machine learning techniques. Proficiency in advanced deep learning algorithms and Gen AI Excellent communication and presentation skills. <br><br>What You’ll Bring<br><br>Data Analysis and Modeling: Perform complex data analysis and build predictive models using advanced statistical and machine learning techniques. Project Leadership: Lead data science projects from conception to deployment, ensuring timely delivery and alignment with business goals. Collaboration: Work closely with cross-functional teams, including data engineers, product managers, and business stakeholders, to understand requirements and deliver data-driven solutions. Data Exploration: Explore large datasets to identify trends, patterns, and opportunities for business improvement. Model Deployment: Implement and maintain machine learning models in production environments, ensuring scalability and performance. Mentorship: Mentor junior data scientists and provide guidance on best practices and methodologies. Communication: Present findings and insights to both technical and non-technical audiences, translating complex data into actionable recommendations. Continuous Improvement: Stay up to date with the latest advancements in data science and machine learning and apply new techniques to improve existing processes. <br><br><br><br>Why We Think You’ll Love Teradata<br><br>We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.<br><br>Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

<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>

Role: Data Analyst (Remote) Location: Remote (Work from Anywhere)<br>Role Overview:We are hiring for one of our clients, seeking a Subject Matter Expert – Data & Statistical Chart Analysis (AI Benchmark) to work on a Full-Time basis. The role involves evaluating and interpreting statistical data and visual representations to assess AI performance benchmarks across diverse models and datasets. You will analyze trends, anomalies, and correlations to ensure accuracy and reliability in benchmarking results.<br>Key Responsibilities:• Evaluate and interpret statistical data and visual representations to assess AI performance benchmarks• Analyze trends, anomalies, and correlations in AI benchmarking datasets• Validate data integrity and consistency across benchmarking reports• Collaborate with cross-functional teams to refine benchmarking methodologies• Document findings and present insights to stakeholders<br>Required Skills & Qualifications:• Experience in data analysis with a focus on statistical methodologies• Proficiency in interpreting complex charts, graphs, and statistical reports• Familiarity with AI model performance metrics and benchmarking frameworks• Strong analytical and problem-solving skills• Ability to communicate technical findings to non-technical audiences<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of AI benchmarking standards. The position requires meticulous attention to detail and a commitment to maintaining high standards in data analysis.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<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>

About us:<br>Elsewedy Electric: Powering Progress, Empowering People<br>For over 80 years, Elsewedy Electric has been a leading manufacturer of electrical products and solutions, operating in 19 countries with over 18,000 employees. We offer a diverse range of products across wire & cable, electrical equipment, engineering & construction, digital solutions, and infrastructure investments. Beyond our manufacturing prowess, we're passionate about creating a positive and empowering work environment for our team. We foster a culture of diversity, inclusion, and continuous learning, providing opportunities for professional development and career growth. Our commitment to employee well-being extends beyond compensation with initiatives promoting work-life balance and overall well-being. Join us and be part of a company that's not just powering progress, but empowering people to build a brighter future.<br>This job opportunity is offered by Elsewedy Electric Graduate Development Program The program is designed for Graduates with 0-2 years of experience. The program offers various job rotations, mentorships, coaching & trainings. 2024 & 2025 Graduates are welcomed to apply.<br>Key Responsibilities:<br>Enter and update employee data accurately across HR systems. Process employee movements, including new hires, transfers, and promotions. Coordinate job changes with Internal Mobility, Organization Design, HRBP, and IT HCM teams. Ensure HR data confidentiality and compliance with data protection and privacy policies. Maintain high data quality, consistency, security, and process efficiency. Process HR data transactions within defined SLAs and in line with HR policies and SOPs. Identify opportunities for automation and digitization of HR data processes.<br>Requirements:<br>Academic Qualifications: Bachelor’s degree in Business Administration, Information Systems, or a related field. Language Proficiency: Excellent command of English. Years of Experience: 0-2 Years of experience in the same field. Computer/Technical Skills: MS Office (Excel & Word) - Google Sheets - Oracle HCM is a plus -HRIS / HR Data Management - Data Governance & Data Privacy - HR Process Digitization & Automation.

<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><em><strong>This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.</strong></em></p><br><p>Our client is an AI company focused on forecasting and attribution intelligence products. The Data Engineering team builds and maintains data pipelines that support analytics, customer onboarding, reporting, forecasting, and AI-driven use cases.</p><br>Role Overview<p>The <strong>Contract Data Engineer</strong> will help build and maintain reliable, analytics-ready data pipelines that power AI-driven forecasting and attribution intelligence products.</p><br><p>This is a hands-on contract role focused on execution, quality, and collaboration across Analytics, Data Science, and Product teams. The Contract Data Engineer will work within a modern analytics engineering stack centered on Python, dbt, and Dagster, primarily supporting customer onboarding and reporting workflows.</p><br>Location<p><strong>Fully Remote | </strong>9:00 AM - 5:00 PM EST</p><br>Key ResponsibilitiesData Pipeline Development<ul><li><p>Build and maintain scalable, fault-tolerant ELT pipelines using Python.</p><br></li><li><p>Model clean, analytics-ready datasets for BI, forecasting, and ML feature consumption.</p><br></li><li><p>Contribute to the refactoring and improvement of existing data workflows as product needs evolve.</p><br></li></ul>dbt Development<ul><li><p>Develop and optimize dbt models.</p><br></li><li><p>Build and maintain dbt tests and documentation.</p><br></li><li><p>Follow analytics engineering best practices.</p><br></li></ul>Workflow Orchestration &amp; Monitoring<ul><li><p>Orchestrate and monitor workflows using Dagster.</p><br></li><li><p>Monitor pipeline health using observability tools and metrics.</p><br></li><li><p>Troubleshoot pipeline failures, performance issues, and data inconsistencies.</p><br></li></ul>Data Quality<ul><li><p>Implement and maintain data quality checks.</p><br></li><li><p>Develop and maintain testing strategies.</p><br></li><li><p>Follow established team standards for SLAs, code quality, and deployments.</p><br></li></ul>Cross-Functional Collaboration<ul><li><p>Collaborate with Data Scientists to support forecasting and AI-driven use cases.</p><br></li><li><p>Work cross-functionally with Product, Analytics, and Data Science teams.</p><br></li><li><p>Work closely with clients to solve data issues.</p><br></li></ul>QualificationsExperience<ul><li><p><strong>3+ years of professional experience</strong> in data engineering or analytics engineering.</p><br></li><li><p>Hands-on experience with dbt Core or Cloud.</p><br></li><li><p>Hands-on experience with Dagster or similar orchestration tools.</p><br></li><li><p>Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.</p><br></li><li><p>Experience working cross-functionally with Product, Analytics, or Data Science teams.</p><br></li><li><p>Experience supporting machine learning or forecasting pipelines is a plus.</p><br></li><li><p>Experience with retail, supply chain, or time-series data is a plus.</p><br></li><li><p>Experience with data observability or quality tooling is a plus.</p><br></li><li><p>Startup or fast-paced product environment experience is a plus.</p><br></li></ul>Skills<ul><li><p>Strong proficiency in Python, including tools such as pandas, SQLAlchemy, and psycopg2.</p><br></li><li><p>Advanced SQL skills, including CTEs, window functions, and query optimization.</p><br></li><li><p>Familiarity with modern ELT tools such as Airbyte, Fivetran, Meltano, or dltHub.</p><br></li><li><p>Ability to troubleshoot pipeline failures, performance issues, and data inconsistencies.</p><br></li><li><p>Ability to work closely with clients to solve data issues.</p><br></li><li><p>Ability to work independently and deliver in a contract environment.</p><br></li></ul>What Success Looks Like<ul><li><p>Reliable, analytics-ready data pipelines support AI-driven forecasting and attribution intelligence products.</p><br></li><li><p>ELT pipelines are scalable and fault-tolerant.</p><br></li><li><p>dbt models, tests, and documentation follow analytics engineering best practices.</p><br></li><li><p>Workflows are orchestrated and monitored using Dagster.</p><br></li><li><p>Data quality checks and testing strategies are maintained.</p><br></li><li><p>Pipeline failures, performance issues, and data inconsistencies are troubleshot.</p><br></li><li><p>Established team standards for SLAs, code quality, and deployments are followed.</p><br></li></ul>Opportunity<p>This hands-on contract role offers the opportunity to work within a modern analytics engineering stack centered on <strong>Python, dbt, and Dagster</strong>, supporting customer onboarding and reporting workflows while collaborating across Analytics, Data Science, and Product teams.</p><br><strong><u>Application Process:</u></strong>To be considered for this role these steps need to be followed:<ul><li><p>Fill in the application form</p><br></li><li><p>Record a video showcasing your skill sets</p><br></li></ul> </div>

<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>

Job Title: Senior Data Analyst / Document Controller Company Name: Elsewedy Electric E&C<br>Job Purpose: Support sector-wide data governance, reporting, analytics, and document management activities by ensuring data integrity, reporting accuracy, document control effectiveness, and availability of reliable information to support governance, risk, compliance, and executive decision-making. Key Accountabilities: Consolidate and validate data from Business Units and sector functions to ensure accuracy, completeness, and reporting reliability. Support development and maintenance of sector dashboards, reports, and performance analytics to enhance visibility and decision-making. Maintain document control practices and information repositories to ensure proper governance, traceability, and accessibility of records. Support implementation and governance of document management systems and sector data standards. Monitor data quality and reporting compliance to support effective governance, risk, and compliance oversight across the sector. HSE Responsibilities Comply with all applicable Elsewedy Electric QHSE policies, procedures, and requirements. Promote a safe working environment and report any identified risks or unsafe conditions. Support continuous improvement of health, safety, environmental, and quality performance. Participate in relevant QHSE awareness and compliance activities.<br><br>Job Requirements: - Years of experience: 3–6 years of experience in Data Analysis, Reporting, Document Control, Information Management, or Business Intelligence.-Preferred Experience within EPC, construction, infrastructure, industrial, or engineering environments. Academic Qualifications: -Bachelor's Degree in Engineering, Business Informatics, Computer Science, Information Systems, Business Administration, or equivalent.-Preferred Postgraduate studies in Data Analytics, Business Intelligence, Information Management, or Digital Transformation. Professional Certificates: -Power BI Certification, Data Analytics Certification, or equivalent.-Preferred Data Management Certification, Document Control Certification, CBIP or equivalent.<br>Computer skills:• Microsoft Office Suite• Power BI• Advanced Excel• Document Management Systems (DMS)• Data Visualization & Reporting Tools• Share Point or equivalent collaboration platforms

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>CARMA is a globally trusted media intelligence leader with decades of experience helping PR and communications professionals monitor what matters, measure what’s meaningful, and demonstrate the value of their work.<br> We combine cutting-edge technology, including AI-enabled media monitoring across print, online, broadcast, and social channels in 100+ languages, with deep human expertise to deliver actionable insights that inform strategy and drive business-critical decisions.<br> With a diverse global team supporting thousands of organisations worldwide, CARMA empowers partners to turn complex media data into clarity and context, elevate the impact of earned media, and deepen understanding of stakeholder influence across markets.<br> Role overview CARMA is seeking an experienced Data Protection Officer to lead its global privacy programme across MENA, Europe and Asia.<br> The role will ensure compliance with applicable data protection laws, oversee privacy governance, DPIAs, data subject requests, breach response, third-party compliance and privacy training, and act as the main point of contact for regulators and supervisory authorities.<br> The ideal candidate will have five to seven years of relevant experience, including at least three years in privacy, with strong knowledge of GDPR and international data protection regulations.<br> Role &amp; Responsibilities Data Protection Governance • Develop, implement and continuously improve the company's global privacy programme.<br> • Maintain privacy governance policies, standards and procedures.<br> • Ensure privacy controls are embedded across all business functions.<br> • Develop regional privacy compliance frameworks appropriate for MENA, EU and Asia.<br> • Establish privacy governance committees and reporting mechanisms.<br> Regulatory Compliance Maintain and evidence compliance with the data protection regimes applicable across the company's markets: • European Union and United Kingdom: EU General Data Protection Regulation (GDPR), UK GDPR, ePrivacy requirements and national implementing legislation.<br> • MENA: UAE PDPL, Saudi Personal Data Protection Law (PDPL), Oman Personal Data Protection Law and other applicable regional legislation.<br> • Asia: Singapore PDPA, Hong Kong PDPO, Japan APPI and other applicable regional legislation.<br> Data Protection Impact Assessments • Lead Data Protection Impact Assessments (DPIAs) and Privacy Impact Assessments.<br> • Identify and mitigate privacy risks.<br> • Advise the business on high-risk processing activities.<br> • Maintain DPIA registers.<br> • Review high-risk technologies.<br> Data Subject Rights (Clients, Prospects and Internal) Oversee the processes relating to: • Access requests • Correction requests • Erasure requests • Portability requests • Restriction requests • Objection requests • Automated decision-making requests Incident and Breach Management • Lead privacy incident response.<br> • Assess whether breaches are reportable.<br> • Coordinate investigations.<br> • Advise management on notification obligations.<br> • Liaise with regulators where required.<br> • Conduct post-incident reviews.<br> Third Party Privacy Compliance • Review Data Processing Agreements (DPAs).<br> • Conduct vendor privacy assessments.<br> • Monitor third-party compliance.<br> • Review subprocessors.<br> Training • Develop annual privacy training programmes.<br> • Conduct awareness campaigns.<br> Audit • Conduct privacy compliance monitoring.<br> • Perform internal audits.<br> • Review regional compliance.<br> • Monitor remediation actions.<br> Regulatory Engagement Serve as the primary point of contact for: • Supervisory authorities • Data protection regulators • Government enquiries and licence requirements • Regulatory inspections • External auditors Policy Development Develop and maintain the following policies, and ensure they are business-centric and implemented in practice: • Global Privacy Policy • Employee Privacy Notice • Customer Privacy Notice • Cookie Policy • Data Retention Policy • Data Breach Procedure • Data Subject Rights Procedure • Vendor Privacy Standard • AI and Data Governance Policies Technical SkillsPrivacy and Regulatory Knowledge Strong knowledge of the GDPR and applicable privacy laws across CARMA’s operating markets, including the UAE PDPL and the Egyptian Personal Data Protection Law.<br> Knowledge of ePrivacy requirements and cookie regulations.<br> Understanding of cross-border data transfer mechanisms, including Standard Contractual Clauses, the UK International Data Transfer Agreement and adequacy decisions.<br> Strong understanding of lawful bases for processing, data subject rights and sensitive personal data.<br> Practical knowledge of privacy-by-design principles and regulatory compliance requirements.<br> Information Security Literacy The role does not require advanced IT expertise; however, the job holder should have a working understanding of: Information security and privacy-by-design principles.<br> ISO/IEC 27001 and the NIST Cybersecurity Framework.<br> Access controls, identity management and cloud security fundamentals.<br> Data protection controls and data-loss prevention.<br> Data breach management and incident-response processes.<br> Education Bachelor’s degree in Law, Information Technology, Information Security, Business Administration or a related discipline.<br> A postgraduate qualification or specialised training in data protection, privacy law or information governance is an advantage.<br> Experience At least five years of experience in data protection, privacy, legal or compliance roles, including a minimum of three years dedicated to privacy.<br> Demonstrated experience managing a privacy programme across multiple jurisdictions.<br> Practical experience leading Data Protection Impact Assessments, data breach response and data subject rights processes.<br> Experience reviewing Data Processing Agreements and conducting vendor privacy assessments.<br> Experience engaging with supervisory authorities, regulators and external auditors.<br> Experience developing and delivering privacy training and awareness programmes.<br> Experience developing and implementing privacy policies, procedures and compliance controls.<br> Preferred Certifications The following certifications are advantageous but not required: Certified Information Privacy Professional/Europe — CIPP/E.<br> Certified Information Privacy Manager — CIPM.<br> Certified Information Privacy Technologist — CIPT.<br> ISO/IEC 27701 Lead Implementer or Lead Auditor.<br> ISO/IEC 27001 Lead Auditor.<br></span> </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

<p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p><strong>What We Do</strong></p><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><p><strong>About the Role</strong></p><p>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 tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><p><strong>Key Responsibilities</strong></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 available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</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><strong>Educational qualifications</strong></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></ul><p><strong>Academic and/or Professional Experience</strong></p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p><p><strong>Technical Skills (Essential)</strong></p><ul><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></ul><p><strong>Additional requirements</strong></p><ul><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><strong>Project time expectations</strong></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><strong>Compensation</strong></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><p><strong>Desired Candidate Profile</strong></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 data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. 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>Dubizzle Egypt is the leading marketplace for selling and buying online in the region. Our aim is to upgrade people s lives by facilitating deals and identifying attractive opportunities for both individuals and businesses. Our goal is to strengthen local economies, empower small businesses, and help everyone in making smarter choices for themselves, the market, and the planet. As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market. With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs.</p><p>As a Data Analyst, you will be in a central position, evangelising data and our methodologies to other functional analysts and stakeholders across the company. You will have close interaction with teams in marketing, sales, finance, and product. You will work in a fast-paced environment that is professional, international and entrepreneurial.</p><strong>Key Responsibilities:</strong><ul><li>Access data, construct and manipulate large datasets to support planned analyses using SQL, Python and similar tools.</li><li>Design and develop BI dashboards using Sisense or similar tools (Tableau, PowerBI, DataStudio) for various organisational metrics and indicators using best practices and industry standards in finance, sales, inventory, and other areas.</li><li>Help with defining KPI metrics and drive data governance through standardisation and communication.</li><li>Create the documentation and presentation for management.</li><li>Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements.</li><li>Be adept at queries, report writing and presenting findings.</li><li>Research and validate entity data using appropriate internal and external data sources.</li><li>Liaise and analyse projects within the Reference Data environment.</li><li>Analyse, specify, test and implement interfaces, workflow solutions, and reference data solutions An example would be regression testing systems ahead of upgrades.</li><li>Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of ongoing strategies.</li><li>Responsible for data quality and timely delivery of reports that make common business sense.</li><li>Participate in Analytics &amp; Reporting trainings to evangelize data across the organization.</li><li>Be able to work autonomously without supervision.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s degree in statistics, mathematics, computer science, or related field. Master s degree is a plus.</li><li>Minimum 3 years of work experience in analytics, having worked closely with products and commercials in an internet/e-commerce company.</li><li>Experience in e-commerce, internet, and/or digital media.</li><li>Extensive experience with SQL.</li><li>Proficient in Microsoft Excel.</li><li>Experience working with BI tools (e.g. Looker, Periscope, Tableau, etc.).</li><li>Skills in Python, R or similar tools are a big plus.</li><li>Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, etc).</li><li>Good analytical skills with a demonstrated ability to translate data and information into actionable insights and business recommendations.</li><li>Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.</li><li>Good attention to detail.</li><li>Written and verbal proficiency in English.</li><li>Proactive and passionate: You are independently capable of seeking information, solving conceptual problems and delivering high-quality results in challenging situations.</li><li>Passion for data and metrics.</li><li>Hands-on attitude and the ability to thrive in a fast-paced environment.</li><li>Highly motivated, professional, creative, proactive and able to work independently and cooperatively in a diverse group.</li><li>Analytical thinking, Conceptual thinking, Detail-oriented, Business Acumen.</li><li>Strong curiosity and striving for continuous learning.</li><li>Thrive in a fast-paced, innovative environment.</li><li>Living the team values: Simpler. Better. Faster. A fast paced, high performing team.</li></ul>

Job Description<br><br>Enter and update purchasing and planning data accurately on the system. Maintain and organize records, purchase orders, and inventory-related data. Review data for accuracy and report any missing or incorrect information. Support the Purchasing and Planning teams with daily administrative tasks. Prepare simple reports and Excel sheets when needed.<br><br>Requirements<br><br>0–2 years of experience in Data Entry or a similar role. Good knowledge of Microsoft Excel. Strong attention to detail and accuracy. Good organizational and follow-up skills. Good communication skills. Previous experience with ERP/Odoo is a plus.

You will build and lead the team that turns the data into something the business can actually run on. Company operates across several verticals and markets: digital goods, ticketing, travel and trading, in Iraq, the UAE and KSA. Each has grown its own reporting, its own metric definitions and its own version of the numbers, so basic questions take days and the answers do not always agree.<br>You will hire the team, own the data platform end to end, from ingestion through warehouse and modelling to the analytics layer on top, and make trusted data a capability the rest of the org can rely on rather than a queue it waits behind.<br>What you'll do Build and lead the data team: Hire, mentor and grow data and analytics engineers, and set the bar for a function that every other team depends on daily. Own the technical strategy and architecture for the data platform: Ingestion from operational systems and third parties, warehouse and modelling layer, orchestration, and the semantic layer that keeps metrics consistent across verticals. Establish a single source of truth for core business metrics: With definitions agreed with commercial, finance and product, and pipelines that make the numbers reproducible and trusted. Deliver self-serve analytics: So most questions are answered without a ticket, and the team's time goes to platform work rather than ad hoc pulls. Treat data as a product and own its reliability: Freshness SLAs, lineage, testing, and alerting that fires when something breaks upstream rather than when a stakeholder notices. Partner with security and legal on governance: Access control, retention and the handling of PII (passport and telecom identifiers) across markets with different regulatory expectations. Build the foundation the next stage depends on: Event tracking standards, the data that data science, personalisation, fraud and experimentation will need. Partner with product and engineering teams: So instrumentation and data contracts are designed into services rather than bolted on afterwards.<br>What you'll bring8+ years in software or data engineering, with 3+ years leading engineering teams, including hiring and growing engineers. Direct experience building and operating a production data platform: Batch and streaming ingestion, warehouse modelling, orchestration, and the operational discipline to keep it reliable at scale. Strong hands-on technical judgment to lead design reviews and make build-vs-buy and cost tradeoffs on warehouse and tooling spend. Deep SQL and dimensional modelling, and comfortable in a Python, Type Script, Go, Postgres and AWS environment. Track record of getting an organisation to agree on metric definitions, not just shipping pipelines. Much of this role is aligning people who currently disagree about what a number means. Governance instincts: Access, PII and retention should be treated as design inputs rather than an audit exercise. The judgment to sequence a platform build so that it has to be built without laying a foundation that will need to be torn up in a year.<br>Nice to have Experience standing up a data function from zero, or consolidating fragmented reporting across business units. Product analytics experience on e-commerce, marketplaces, payments or fintech. Experience supporting data science and ML in production: Feature pipelines, model serving or MLOps. MENA or emerging-market experience, including multi-currency and multi-market reporting.