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Management:To Strategize, develop and implement Data Protection Controls in coordination with stakeholders across the Organization globally. To ensure compliance of the Organization with the defined policy & framework with a data driven approach<br>Execution To ensure that the protection operations are executed effectively in a timely manner and with required quality Assists in the development and implementation of Data Protection strategic initiatives. Leads all Data protection related tasks with effective monitoring and protection of information security assets.<br>Manager – Data Protection has overall responsibility to coordinate and support the Head of Data Privacy and Protection to achieve organization’s Protection strategy and goals.<br>He/she is a T-Shaped expert with proven skills in most core capability areas of Data Protection and security: Policy, Governance, Protection Strategy & Program Management. Performance evaluation of the role will be based on the positive impact on the bank in terms of Data protection posture enhancement rather than the effort put in place.

Job Title<br><br>Data Collector (Sales Support)<br><br><br>Job Purpose<br><br>To collect, analyze, and organize accurate data on existing and potential customers (leads), and define the best methods to reach them, in order to support the Sales team with reliable insights that help achieve sales targets.<br><br><br>Key Responsibilities<br><br>Collect customer and potential client data from various sources (online and offline).<br><br>Identify and define target customer profiles in collaboration with the Sales team.<br><br>Understand Sales team requirements and translate them into clear data collection criteria.<br><br>Conduct market research to identify qualified potential customers.<br><br>Search, gather, and compile relevant data based on predefined criteria.<br><br>Organize, categorize, and maintain data in a structured and accessible format.<br><br>Ensure data accuracy, completeness, and up-to-date information.<br><br>Prepare regular reports summarizing findings and data analysis results.<br><br>Maintain continuous communication with the Sales team to align on needs and updates.<br><br>Continuously improve data collection methods and processes to enhance quality and efficiency.<br><br><br>Required Qualifications<br><br>Bachelor’s degree in Business Administration, Information Systems, Marketing, or a related field.<br><br>Previous experience in data collection, research, lead generation, or sales support is preferred.<br><br>Strong analytical and research skills.<br><br>High attention to detail and accuracy.<br><br>Strong organizational and time-management skills with the ability to work fast and efficiently.<br><br>Proficiency in Excel / Google Sheets and data management tools.<br><br>Ability to work independently and collaborate effectively with cross-functional teams.<br><br><br>Key Skills & Competencies<br><br>Data analysis and critical thinking<br><br>Research and sourcing skills<br><br>Strong communication skills<br><br>Ability to understand sales needs and business goals<br><br>Organized, detail-oriented, and results-driven

Job Summary:<br><br>We are seeking a proactive and technically skilled Data Operations & Support Specialist to oversee the day-to-day management of data processes and ensure the reliability, performance, and quality of data systems. The ideal candidate will have strong SQL expertise, a solid understanding of operational support workflows, and experience in monitoring and troubleshooting database and batch processing environments.<br><br>Key Responsibilities:<br><br> Monitor and manage daily data loads, ETL jobs, and scheduled batch processes to ensure timely and successful execution. Identify, analyze, and troubleshoot data-related issues and system errors, coordinating with technical teams to ensure swift resolution. Ensure data availability, integrity, and quality to support business reporting and analytics needs. Maintain and improve operational runbooks, document procedures, and standard operating processes for data support activities. Collaborate with data engineering, analytics, and infrastructure teams to escalate and resolve complex incidents. Participate in incident, problem, and change management processes, ensuring proper tracking and communication of issues and enhancements. Assist in performance tuning of database queries and job optimization for improved system efficiency. <br><br>Requirements<br><br>Technical Skills & Qualifications:<br><br> Strong proficiency in SQL for querying, validation, and issue investigation. Experience with database performance monitoring, analysis, and troubleshooting. Familiarity with job scheduling tools (e.g., Control-M, Autosys, Cron, Airflow) and ETL workflows. Understanding of incident, problem, and change management frameworks (e.g., ITIL practices). Basic scripting knowledge (e.g., Shell, Python) is a plus. Exposure to cloud data environments (e.g., AWS, Azure, or GCP) is advantageous. <br><br>Preferred Qualifications:<br><br> Bachelor's degree in computer science, Information Technology, or a related field. 2+ years of experience in data operations, technical support, or database administration. Strong attention to detail, problem-solving abilities, and ability to work under pressure in a fast-paced environment. Good communication skills to collaborate effectively across technical and business teams. <br><br>Why Join Us?<br><br>You'll be part of a critical data support function that ensures uninterrupted access to reliable data across the organization. If you're driven by operational excellence and take pride in maintaining system stability and data quality, we want to hear from you.

About Atos Atos is a global leader in digital transformation with 107,000 employees and annual revenue of over € 11 billion. European number one in cybersecurity, cloud, and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 71 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societies Europaea), listed on Euronext Paris and included in the CAC 40 ESG and Next 20 Paris Stock indexes. The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education, and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. Role Summary We are seeking a Data Analyst who can translate business needs into reliable reporting and actionable insights. The role will combine data analysis, dataset preparation, dashboarding, and stakeholder collaboration to ensure that business decisions are supported by accurate and meaningful data. Key Responsibilities Analyze business data to identify trends, patterns, and opportunities. Define and document reporting and analytical requirements in collaboration with stakeholders. Prepare, transform, and structure datasets for reporting and analysis. Define and validate business metrics, KPIs, and data definitions. Support the design, development, and enhancement of Power BI dashboards and reports. Use SQL to extract, analyze, and validate data. Work with Microsoft Fabric and related data platforms. Apply basic data modeling principles to support effective reporting solutions. Work with Customer Insights data to support business analysis and reporting. Validate dashboards, metrics, datasets, and analytical outputs with stakeholders. Identify data quality issues and support their resolution. Generate clear, actionable insights from business data and communicate findings to stakeholders. Required Skills Power BIMicrosoft Fabric SQLBasic data modeling Dashboard and report development Customer Insights data Reporting requirements gathering Data validation and quality checks Business data analysis and insight generation Key Competencies Curiosity: A strong desire to explore data, ask meaningful questions, and uncover insights. Business Communication: Ability to translate technical and analytical concepts into clear business language. Attention to Detail: Strong focus on data accuracy, consistency, and quality. Analytical Reasoning: Ability to interpret complex information, identify patterns, and develop logical conclusions. Stakeholder Collaboration: Ability to work effectively with business and technical stakeholders to validate requirements and deliver trusted analytical outputs.<br>Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos.

Company Description Cretik is a digital innovation company specializing in software and mobile app development, UI/UX design, website development, and e-commerce solutions. The team crafts tailored products that exceed industry standards and help clients gain a strong competitive edge. Cretik focuses on intuitive, visually compelling interfaces and high-performance, responsive websites that engage users and support business growth. Its e-commerce platforms are designed to drive sales and expand market reach, enabling clients to succeed in the online marketplace. By combining creativity with technical expertise, Cretik helps brands lead in the digital world. Role Description The Senior Data Analyst is a full-time, remote role responsible for transforming complex data into clear insights that support strategic and operational decisions. In this position, the analyst will collect, clean, and validate data from multiple sources, build and maintain dashboards, and perform exploratory and advanced data analysis. The role includes developing data models, applying statistical methods, and generating reports that inform product, marketing, and business performance. The Senior Data Analyst will collaborate with cross-functional teams to define key metrics, communicate findings in a clear and actionable way, and recommend data-driven improvements. This role also involves mentoring junior analysts, helping evolve analytics best practices, and supporting the implementation of new data tools and processes. Qualifications Strong analytical skills and experience in data analytics to interpret complex datasets and derive actionable insights. Proficiency in statistics, including hypothesis testing, regression, and descriptive analytics to support evidence-based decision-making. Hands-on experience with data modeling, including designing and maintaining data structures and pipelines for reporting and analysis. Excellent communication skills to present findings to technical and non-technical stakeholders and translate data insights into clear recommendations. Advanced skills in SQL and at least one analytics or scripting language (e.g., Python, R) and familiarity with BI tools (e.g., Power BI, Tableau, Looker). Experience working with large or complex datasets, including data from digital products, web analytics, or e-commerce platforms. Proven ability to work independently in a remote environment, manage multiple priorities, and meet deadlines in a fast-paced setting. Bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or related discipline. Background in technology, software, or digital product companies is a plus, along with experience supporting product and UX teams with data.

As an AI & Data Trainee, you will contribute to projects that turn data into insight and help shape AI-driven solutions that support business goals. This role is a strong fit for someone looking to grow their foundation in artificial intelligence, machine learning, and data work while collaborating with teams across the business on meaningful technology initiatives.<br><br>Responsibilities<br><br>Develop and implement AI and data-driven solutions to support business objectives Analyze large datasets to extract actionable insights and support decision-making Design and build machine learning models and algorithms tailored to company projects Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows Stay current with the latest advances in AI, machine learning, and data science technologies Support data governance, data quality, and ethical AI practices within the organization<br><br>Requirements<br><br>Bachelor's degree (or recent graduate) in Computer Science, Data Science, Artificial Intelligence, or a related field Basic knowledge of machine learning frameworks such as Tensor Flow, PyTorch, or scikit-learn (academic or personal projects are a plus) Good programming skills in Python and familiarity with data processing libraries (such as Pandas and Num Py) Basic understanding of working with data, including data cleaning workflows, and data visualization tools such as Power BI or Tableau, along with Python-based visualization libraries such as Matplotlib or Seaborn Foundational knowledge of statistics, data mining, predictive modeling concepts, and model experimentation workflows Experience working in Agile-style delivery Eligible to work in Egypt Experience with version control using Git is a plus Completion of solid AI, machine learning, or data projects is a plus<br><br>Benefits<br><br>A culture of growth: Many of our leaders started in junior roles — we believe in investing in our people and growing talent from within Continuous feedback: We don't wait for annual reviews — we believe in real-time coaching and development Supportive & collaborative vibes: We're all about learning together, cheering each other on, and diving into challenges as a team A space for every personality: Love socializing? You'll thrive in our lively environment where conversation and connection are key. Prefer quiet focus? We've got dedicated Focus Rooms perfect for deep work

As an AI & Data Trainee, you will contribute to projects that turn data into insight and help shape AI-driven solutions that support business goals. This role is a strong fit for someone looking to grow their foundation in artificial intelligence, machine learning, and data work while collaborating with teams across the business on meaningful technology initiatives.<br><br>Responsibilities<br><br>Develop and implement AI and data-driven solutions to support business objectives Analyze large datasets to extract actionable insights and support decision-making Design and build machine learning models and algorithms tailored to company projects Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows Stay current with the latest advances in AI, machine learning, and data science technologies Support data governance, data quality, and ethical AI practices within the organization<br><br>Requirements<br><br>Bachelor's degree (or recent graduate) in Computer Science, Data Science, Artificial Intelligence, or a related field Basic knowledge of machine learning frameworks such as Tensor Flow, PyTorch, or scikit-learn (academic or personal projects are a plus) Good programming skills in Python and familiarity with data processing libraries (such as Pandas and Num Py) Basic understanding of working with data, including data cleaning workflows, and data visualization tools such as Power BI or Tableau, along with Python-based visualization libraries such as Matplotlib or Seaborn Foundational knowledge of statistics, data mining, predictive modeling concepts, and model experimentation workflows Experience working in Agile-style delivery Eligible to work in Egypt Experience with version control using Git is a plus Completion of solid AI, machine learning, or data projects is a plus<br><br>Benefits<br><br>A culture of growth: Many of our leaders started in junior roles — we believe in investing in our people and growing talent from within Continuous feedback: We don't wait for annual reviews — we believe in real-time coaching and development Supportive & collaborative vibes: We're all about learning together, cheering each other on, and diving into challenges as a team A space for every personality: Love socializing? You'll thrive in our lively environment where conversation and connection are key. Prefer quiet focus? We've got dedicated Focus Rooms perfect for deep work

<h2 class=\"h5\">وصف العمل</h2> <div class=\"t-break\" data-jb-field=\"description\"> <span> ما ستقوم به </span><ul> <li>تصميم وبناء والمحافظة على نماذج البيانات التحليلية والكتل (مثل Azure Analysis Services / نماذج دلالية) لدعم التقارير والتحليلات المتقدمة&nbsp;</li> <li>تطوير خطوط أنابيب بيانات قابلة للتوسع على Databricks باستخدام بايثون و Spark لتحويل البيانات الخام إلى أصول بيانات موثوقة&nbsp;</li> <li>بناء وإدارة أصول بيانات شاملة، من الاستيعاب حتى مجموعات البيانات المجمّعة الجاهزة لاستهلاك ذكاء الأعمال&nbsp;</li> <li>ضمان جودة البيانات والتناسق وتحسين الأداء عبر حلول التحليلات&nbsp;</li> <li>التعاون الوثيق مع أصحاب المصلحة من الأعمال والمحللين وفرق البيانات لترجمة المتطلبات إلى حلول قابلة للتوسع&nbsp;</li> <li>المساهمة في هندسة التحليلات الحديثة وأفضل الممارسات والأطر القابلة لإعادة الاستخدام&nbsp;</li> <li>استغلال الأدوات المعززة بالذكاء الاصطناعي (مثل Copilot، Genie، حلول مبنية على LLM) لتحسين كفاءة التطوير واستكشاف حالات استخدام جديدة&nbsp;</li> <li>استمرار استكشاف تقنيات جديدة والدفع بنحو استباقي نحو تحسينات ضمن مشهد البيانات&nbsp;</li> </ul> <br><br> What makes you a good fit <ul> <li>درجة البكالوريوس أو ماجستير في علوم الكمبيوتر أو هندسة البيانات أو مجال ذو صلة&nbsp;</li> <li>3–5 سنوات خبرة في هندسة البيانات / هندسة التحليلات&nbsp;</li> <li>خبرة عملية قوية مع&nbsp;بايثون و PySpark، Databricks (مفضل بشدة)، SQL ونمذجة البيانات (النمذجة البُعدية ميزة إضافية)&nbsp;</li> <li>خبرة في بناء وصيانة النماذج التحليلية / الطبقات الدلالية (مثل الكُتَل، النماذج الجدولية، Analysis Services، نماذج Power BI)&nbsp;</li> <li>الإلمام بأطر معالجة البيانات المستندة إلى Spark&nbsp;</li> <li>خبرة العمل باستخدام Git وتدفقات التطوير التعاونية (CI/CD ميزة إضافية)&nbsp;</li> <li>فهم قوي لخطوط بيانات كاملة وأن lifecycle البيانات&nbsp;</li> <li>اهتمام أو خبرة في التطوير المعتمد على AI (GenAI، المساعدين، أدوات الأتمتة)&nbsp;</li> </ul> بعض المزايا عند الانضمام إلى Henkel <ul> <li>نظام عمل مرن بساعات مرنة، نموذج عمل هجين، وسياسة العمل من أي مكان حتى 30 يومًا في السنة</li> <li>فرص نمو وطنية ودولية متنوعة</li> <li>معايير رفاهية عالمية مع برامج صحية ورعاية وقائية</li> <li>إجازة أبوة محايدة الجنس لمدة 8 أسابيع كحد أدنى</li> <li>خطة مشاركة الموظفين باستثمارات طوعية ومشاركة Henkel مطابقة الأسهم</li> <li>تأمين صحي شامل للموظف + المعالين</li> <li>برنامج مساعدة الموظفين يوفر مجموعة واسعة من فوائد الصحة النفسية والرفاهية</li> </ul> <p>في Henkel، نعتمد خلفيات وآفاق وخبرات حياة متنوعة. نؤمن بأن تميز جميع موظفينا هو القوة الكامنة فينا. انضم إلى الفريق وشاركنا تميزك!</p><br> <br> </div>

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.

What You’ll Do • What the role is about: As a Principal/Staff Data Scientist , you will serveas a senior individual contributor responsible for defining analytical approaches,scoping complex data science projects, and delivering high-impact solutions acrossmultiple industries. You will tackle highly complex and ambiguous problems,architect end-to-end data science workflows, and provide deep technical guidanceto cross-functional teams—without direct people management responsibilities.• What impact this role has: Your expertise will shape the technical direction of datascience initiatives, influence solution design across teams, and help internal andexternal stakeholders make well-informed decisions. By leveraging advancedmodeling, statistical rigor, and deep domain insight, you will ensure thdelivers scalable, high-quality analytical solutions that drive measurable businessvalue for our clients.• What success might look like: Success in this role means independently leadingthe most challenging parts of data science engagements, producing reliable andscalable solutions, and serving as a trusted technical advisor to product managers,engineers, and business stakeholders. You will be recognized for your ability totranslate complex business problems into well-scoped analytical strategies, and forconsistently raising the technical bar across the team. Who You’ll Work With • An outline of the team: You will be part of a collaborative and dynamic data scienceteam that works closely with data engineers, project managers, solution architects,and business stakeholders. You will contribute as a high-level technical expert,helping teams navigate complexity and ensuring that analytical solutions are sound,scalable, and aligned with business needs.• The role and the team play : The data science team plays acrucial role in transforming data into strategic assets. As a Principal/Staff Data Scientist, you will influence the technical direction of projects, contribute reusablemethodologies, and help shape best practices for developing advanced analyticalsolutions across multiple engagements.• Who the position reports to: This position reports to the Data Science Team Manager. What Makes You a Qualified Candidate / Non-negotiable qualification: <br>• Minimum of 4 to 8 years of experience in data science, machine learning, or appliedanalytics.• Expertise in programming languages such as Python and SQL.• Strong understanding of advanced statistical methods, machine learning, deeplearning, and Gen AI techniques.• Proven ability to scope, architect, and technically lead complex data scienceprojects without direct management responsibilities.• Excellent communication and presentation skills, with the ability to engage bothtechnical and non-technical audiences. What You’ll Bring • Advanced Data Analysis and Modeling: Perform highly complex data analysis andbuild sophisticated predictive and prescriptive models using advanced statistical,machine learning, and deep learning techniques.• Technical Leadership: Define analytical approaches, scope data sciencecomponents in partnership with PMs, and lead the technical direction of projectsacross multiple industries.• Cross-Functional Collaboration: Work closely with data engineers, productmanagers, and business stakeholders to align on requirements, solution direction,and implementation plans.• Data Exploration: Explore large and diverse datasets to uncover insights, evaluatefeasibility, and guide model and feature design.• Model Deployment: Collaborate with engineering teams to implement, optimize,and maintain machine learning models in production environments, ensuringscalability, performance, and reliability.• Mentorship: Provide informal technical mentoring, conduct deep code/modelreviews, and guide other data scientists in best practices—without direct peoplemanagement.• Communication: Present complex findings, trade-offs, and solution paths totechnical teams, business partners, and customer stakeholders in a clear andconcise manner.• Continuous Improvement: Stay current with emerging data science, machinelearning, and Gen AI advancements, applying new techniques to enhance solutionquality and accelerate delivery.

Key Responsibilities:<br>Collect, validate, and analyze data related to production, inventory and planning. Analyze production efficiency, machine utilization, waste, downtime, and productivity trends. Monitor quality indicators and identify root causes of performance gaps. Support forecasting and capacity planning through data analysis. Generate insights to optimize cost, lead time, and operational processes. Collaborate with Production, Planning, Quality, HR, and Supply Chain teams to support data-driven decisions. Automate reporting processes and improve data accuracy. Prepare regular reports and presentations for management. Ensure data integrity and maintain reporting standards.<br>Qualifications Bachelor's degree Business Administration, Statistics, or a related field.2–5 years of experience in Data Analysis. Advanced proficiency in Excel, SQL, Power BI, and data visualization tools. Experience in ERP systems . Basic knowledge of Python is an advantage. Understanding of S&OP, demand forecasting, inventory management, warehousing, and planning. Strong analytical, problem-solving, and communication skills. Experience in Manufacturing or Industrial sectors is preferred.

Key Responsibilities:<br>Collect, validate, and analyze data related to production, inventory and planning. Analyze production efficiency, machine utilization, waste, downtime, and productivity trends. Monitor quality indicators and identify root causes of performance gaps. Support forecasting and capacity planning through data analysis. Generate insights to optimize cost, lead time, and operational processes. Collaborate with Production, Planning, Quality, HR, and Supply Chain teams to support data-driven decisions. Automate reporting processes and improve data accuracy. Prepare regular reports and presentations for management. Ensure data integrity and maintain reporting standards.<br>Qualifications Bachelor's degree Business Administration, Statistics, or a related field.2–5 years of experience in Data Analysis. Advanced proficiency in Excel, SQL, Power BI, and data visualization tools. Experience in ERP systems . Basic knowledge of Python is an advantage. Understanding of S&OP, demand forecasting, inventory management, warehousing, and planning. Strong analytical, problem-solving, and communication skills. Experience in Manufacturing or Industrial sectors is preferred.

We're looking for an experienced Data & Market Intelligence Lead to drive the strategy, architecture, and delivery of our data intelligence capabilities. This is a hands-on leadership role for someone who combines deep machine learning expertise with strong execution, taking ownership of production ML systems, market data strategy, and the growth of the Data & Market Intelligence function.<br>You'll play a critical role in designing scalable machine learning infrastructure, transforming data into actionable intelligence, and ensuring our models are robust, explainable, and production-ready from day one.<br>Responsibilities:Define the modelling roadmap and make build-vs-buy calls across model types (the platform leans AWS — Sage Maker, Personalize where it fits). Solve the cold-start problem: design models that perform with sparse first-party data at launch, and lead the strategy for acquiring, scraping, and licensing external market data (REGA, public records, macroeconomic indicators, third-party listing data). Own the full MLOps lifecycle: data and feature pipelines, model registry and versioning, automated training/retraining, CI/CD for models, model serving, and live monitoring for drift, data quality, and performance — with reproducibility and rollback built in, not bolted on later. Architect every AI service as a highly scalable, low-latency API built to serve the platform at production scale (the roadmap targets ~100k users and millions of inference requests a month), with horizontal scaling, caching, batching, and inference-cost control designed in from day one. Establish ground truth and evaluation — accuracy targets, drift monitoring, and how each score is validated and explained to users. Ensure PDPL compliance and anonymisation for any insights derived from user data; partner with the platform team on data governance. Expose models as clean APIs the Laravel/Type Script platform team can consume without touching Python. Recruit, lead, and hold accountable the Data & Market Intelligence chapter as the function scales.<br>What You Bring<br>Technical Depth:<br>7+ years in ML/data science with real production model ownership, and prior team leadership. Strong applied background in regression, time-series forecasting, and scoring/ranking — ideally pricing, valuation, demand, or risk models. Hands-on Python ML stack (pandas, scikit-learn, plus deep-learning frameworks). Strong, hands-on MLOps — has stood up production ML infrastructure end to end: experiment tracking, model registry/versioning, automated retraining and evaluation, containerised serving, monitoring/alerting (drift, latency, accuracy), and infrastructure-as-code. On AWS this means comfort with Sage Maker (pipelines, model registry, endpoints) or an equivalent self-managed stack. Proven experience designing high-throughput, low-latency ML serving at scale — load-aware architecture, autoscaling, caching/feature reuse, and keeping inference cost and latency under control as volume grows. Cloud ML at production scale (AWS strongly preferred). Comfort operating in a data-scarce, build-from-zero environment — pragmatic about heuristics/algorithmic baselines before full models. Preferred: real estate / proptech, fintech, or marketplace pricing experience; geospatial modelling and external data licensing; familiarity with Saudi/GCC market and data sources (REGA, Suhail); Arabic language; KSA data residency and regulatory awareness.<br>Leadership & Execution:<br>A strict, execution-driven manager — sets clear standards, owns deadlines, and holds the team accountable to them. Decisive and hands-on; leads by delivering, not delegating-and-hoping. Comfortable enforcing quality bars on code, models, and process. Pragmatic prioritiser who can ship a working baseline under data and time constraints rather than chasing perfection. Clear communicator who can explain model behaviour and trade-offs to non-ML stakeholders (product, platform, executives).<br>If you're ready to shape and scale data intelligence capabilities in a high-growth environment, we'd love to hear from you.

Role Description The Senior Full-Stack & Data Engineer – E-commerce is a full-time, on-site role based in Nasr City, Cairo. The role is responsible for building and maintaining Malabisy’s e-commerce technology, data infrastructure, integrations, internal systems, and automation. This is a highly hands-on hybrid role covering three core areas: Shopify & Full-Stack Development, Data Engineering & Business Intelligence, and Internal Systems & Automation. The role will own Shopify development and customization, including theme development, Liquid, APIs, apps, integrations, troubleshooting, performance optimization, and custom functionality. The candidate will also be responsible for integrating Shopify with third-party platforms and resolving technical issues across the e-commerce technology stack. The role will build and maintain Malabisy’s data infrastructure by integrating data from Shopify, Meta, Google, Tik Tok, GA4, and other business systems into centralized data environments such as Big Query, while building advanced Looker Studio dashboards and reliable reporting systems. The role will also design and develop internal business systems, ERP capabilities, automated workflows, operational tools, and vendor dashboards to reduce manual work, improve data accessibility, and create scalable internal processes. The ideal candidate must be able to work across the full technical lifecycle — from business requirement and system architecture to development, data integration, deployment, automation, and ongoing maintenance. Qualifications5+ years of strong hands-on experience in Full-Stack Development, Data Engineering, E-commerce Technology, or a combination of these areas. Strong hands-on experience with Shopify development and customization. Strong knowledge of Shopify Liquid, HTML, CSS, Java Script, Shopify APIs, Graph QL, and Webhooks. Proven experience customizing Shopify themes and developing custom storefront functionality. Strong experience working with Shopify Apps, APIs, and third-party integrations. Strong understanding of REST APIs, webhooks, authentication, data synchronization, and system integrations. Strong hands-on experience with SQL, Big Query, data modeling, ETL/ELT, and data pipelines. Proven experience building advanced Looker Studio dashboards using multiple data sources. Experience integrating data from Shopify, Meta Ads, Google Ads, Tik Tok Ads, GA4, and other platforms. Strong ability to clean, transform, structure, and analyze large datasets. Experience building internal systems, ERP solutions, operational platforms, workflow automation, or custom business tools. Experience developing vendor portals / dashboards or external-facing internal systems is highly preferred. Strong frontend and backend development capabilities. Strong understanding of databases, system architecture, scalability, and maintainability. Ability to identify manual processes and turn them into automated, scalable workflows. Strong problem-solving skills and ability to translate business requirements into technical solutions. Ability to independently own projects from architecture to deployment and maintenance. Strong communication skills and ability to work with Marketing, Commercial, Operations, Finance, and Management teams. Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field is preferred, or equivalent practical experience. Ability to work on-site in Nasr City, Cairo, 5 days per week, from 10:00 AM to 6:00 PM. Important: This is not a traditional Shopify Developer, Data Analyst, or Full-Stack Developer role. We are specifically looking for a senior technical professional with strong, practical experience across three separate disciplines:Shopify & Full-Stack Development + Data Engineering & BI + Internal Systems & Automation. The candidate should be capable of building and maintaining the technical infrastructure behind Malabisy’s e-commerce operation, connecting systems and data, automating manual processes, building internal tools, and turning business data into reliable reporting and actionable insights. Candidates who are strong in only one of these areas will not be considered.

We're looking for a Data Analysis Specialist to turn raw data into clear, actionable insights that drive business decisions. You'll work closely with teams across the company to identify trends, build reports, and answer the "why" behind the numbers. This is a great opportunity for someone who loves solving problems with data and communicating findings in ways that non-technical stakeholders can act on. What You'll DoCollect, clean, and organize data from multiple sources (databases, spreadsheets, APIs) Analyze datasets to identify trends, patterns, and opportunities Build and maintain dashboards and reports using tools like Excel, SQL, Tableau, or Power BIPartner with stakeholders to understand business questions and translate them into data-driven answers Present findings clearly to both technical and non-technical audiences Monitor key metrics and flag anomalies or emerging trends Support forecasting, A/B testing, and other quantitative initiatives Ensure data accuracy, integrity, and consistency across reporting What We're Looking For Bachelor's degree in Statistics, Economics, Data Science, Computer Science, or a related field (or equivalent experience)2+ years of experience in a data analysis, business intelligence, or similar role Proficiency in SQL and Excel; experience with Python or R a plus Experience with data visualization tools (Tableau, Power BI, Looker, or similar) Strong analytical thinking and attention to detail Ability to communicate complex findings in a simple, compelling way Comfortable working independently and managing multiple priorities

<ul><li>Develop, test, and deploy machine learning models for demand forecasting, customer behaviour analysis, and pricing</li><li>Maintain model accuracy through scheduled retraining and performance monitoring</li><li>Document all models prior to production deployment and maintain version control&nbsp;</li><li>Build and maintain automated data pipelines supporting analytics use-cases</li><li>Monitor pipeline availability and data quality, escalating issues as appropriate&nbsp;</li><li>Contribute to reducing pipeline processing time through continuous improvement</li><li>Develop and maintain management dashboards in Tableau as requested, ensuring timely delivery and relevance to business needs</li><li>Maintain and fulfil all ongoing scheduled reports across functions, ensuring accuracy and on-time delivery</li><li>Fulfil ad-hoc analytical requests within agreed turnaround standards</li><li>Support reduction in report delivery time through automation and standardization</li><li>Produce quarterly customer segmentation reports and loyalty programme analytics</li><li>Deliver monthly e-commerce performance insight reports in collaboration with the E-Commerce team&nbsp;</li><li>Complete post-campaign promotion effectiveness analyses within agreed timelines, working closely with Marketing&nbsp;</li><li>Ensure all datasets used in analysis comply with Spinneys Egypt data privacy policies&nbsp;</li><li>Document data sources, lineage, and definitions for all critical datasets</li><li>Contribute to the enterprise data governance framework as directed by the IT Manager</li><li>Define analytical use-case requirements to inform data lake design</li><li>Build and test AI/ML models on data lake datasets</li><li>Validate data quality and completeness of lake-ingested data and produce monthly quality reports</li><li>Propose and pilot new AI/ML use-cases in collaboration with IT and business teams</li><li>Participate in internal knowledge-sharing sessions with IT and business stakeholders</li></ul>

WOREX TECHNOLOGY is Hiring!<br>Are you skilled at bridging the gap between complex data infrastructure and strategic business value? We are looking for a Data Presales Engineer to join our team and drive technical discovery, solution design, and client demonstrations.<br>Key Responsibilities:<br>-Partner with the sales team to deliver technical presentations, solution architectures, and tailored proof-of-concept (PoC) demos.-Lead technical scoping calls to uncover prospective clients' data pain points and requirements.-Act as the trusted technical advisor throughout the pre-sales deal lifecycle. Core Requirements<br>+5 years of Experience in Data Management & Data Governance Data Architecture & Cloud Platforms: Solid understanding of modern data infrastructure, ETL/ELT pipelines, data warehousing (e.g., Snowflake, Big Query, Databricks), and cloud platforms (AWS, Azure, or GCP). Presales & Technical Pitching: Proven ability to translate complex technical features into clear business ROI for both executive stakeholders and technical leads. PoC & Scoping Delivery: Hands-on experience conducting technical discovery, answering RFPs/RFIs, and building functional proof-of-concept solutions. Stakeholder Communication: Exceptional communication and presentation skills with a strong ability to manage client expectations and address technical objections.<br>???? How to Apply: Fill this form https://lnkd.in/exdmpjdb & wait for a call from our team.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b>Who we are</b> <br></span><p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation. <br>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 3rd party capability. <br>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. <br>#VOIS #BeUnrivalled #CreateTheFuture</p><br><br><br><b>About this Role</b> <br>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.<br><br><br><b>What you’ll do</b> <br><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><br><br><b>Who you are</b> <br><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 Proficiency in</li> <li>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><br><br><b>Not a perfect fit?</b> <br><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><br><br><br><b>What's in it for you</b> <br><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><br><br><b>What skills you will learn</b> <br><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><br><br><b>VOIS Equal Opportunity Employer Commitment</b> <br><p>Vodafone&nbsp;recognises&nbsp;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,&nbsp;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.&nbsp;</p><br><br><br><b>Join Us</b> <br><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. <br>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. <br>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p><br><br><br><b>Alert </b> <br><p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud. <br>#JDEnhancedByTARA</p><br><br><br><b>Follow us on social media</b> <br> <ul> <li>LinkedIn: https://www.linkedin.com/company/vois/</li> <li>Facebook:&nbsp;https://www.facebook.com/voisglobal</li> <li>Instagram: https://www.instagram.com/voisglobal/</li> <li>You can also chat with our employees to learn more about our projects:&nbsp;https://lnkd.in/dpkrcvR2</li> </ul> <br><br><br><br> </div>

About NOKNOK Human Capital is a leading HR consulting and talent acquisition firm with a global footprint and a proven track record of supporting Fortune 500 clients. We specialize in connecting top-tier talent with industry leaders, driving innovation, and fostering high-performance cultures across the MENA region and beyond.<br>Job Title Senior Data Engineer (Analytics & Automation)<br>Job Summary Were looking for a Senior Data Engineer to build scalable, automated, and AI-powered analytics solutions that drive real business impact.<br>Key Responsibilities Build Python-based automation, scalable data pipelines, and analytics frameworks Develop reusable analytics modules (forecasting, anomaly detection, driver analysis) Automate reporting, alerts, and insight generation Design and develop interactive React-based analytics applications Create scalable data models, standardized KPIs, and data marts Ensure data quality and metric consistency Partner with stakeholders to translate business problems into actionable solutions<br>Qualifications3+ years of experience in Analytics/Data roles Strong SQL and Python skills Experience working with large-scale datasets Experience building data tools, dashboards, or applications Exposure to production workflows (Airflow, Lambda, scheduled jobs, etc.) Experience with React or web-based analytics tools (preferred) Knowledge of AI/ML use cases in analytics is a plus Bachelors degree required; MBA/MSc is a plus

About NOKNOK Human Capital is a leading HR consulting and talent acquisition firm with a global footprint and a proven track record of supporting Fortune 500 clients. We specialize in connecting top-tier talent with industry leaders, driving innovation, and fostering high-performance cultures across the MENA region and beyond.<br>Job Title Senior Data Engineer (Analytics & Automation)<br>Job Summary Were looking for a Senior Data Engineer to build scalable, automated, and AI-powered analytics solutions that drive real business impact.<br>Key Responsibilities Build Python-based automation, scalable data pipelines, and analytics frameworks Develop reusable analytics modules (forecasting, anomaly detection, driver analysis) Automate reporting, alerts, and insight generation Design and develop interactive React-based analytics applications Create scalable data models, standardized KPIs, and data marts Ensure data quality and metric consistency Partner with stakeholders to translate business problems into actionable solutions<br>Qualifications3+ years of experience in Analytics/Data roles Strong SQL and Python skills Experience working with large-scale datasets Experience building data tools, dashboards, or applications Exposure to production workflows (Airflow, Lambda, scheduled jobs, etc.) Experience with React or web-based analytics tools (preferred) Knowledge of AI/ML use cases in analytics is a plus Bachelors degree required; MBA/MSc is a plus