senior data scientist

ai data engineer, ai4all

data analyst

analytics engineer ii

azure data engineer

data engineer

Nawy

<div>
 Nawy Proptech is in search of a highly motivated and talented Data Engineer to become a valuable addition to our dynamic team. As a Data Engineer at Nawy, you will play a key role in data management, ensuring data quality, integrity, and modeling. We are seeking an individual with a strong technical background, hands-on experience with data processing technologies, and a passion for building robust and efficient data solutions.
 
 
 <ul>
 <li>
 Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions
 </li>
 <li>
 Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure
 </li>
 <li>
 Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIs
 </li>
 <li>
 Optimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data
 </li>
 <li>
 Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity
 </li>
 <li>
 Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities
 </li>
 <li>
 Perform data modeling and schema design to support analytical and reporting requirements
 </li>
 <li>
 Design and build data marts and business layers to facilitate efficient data access and analysis
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Systems, or other related technical field or equivalent work
 </li>
 <li>
 Proven experience as a Data engineer or similar role, with at least 1 years of experience
 </li>
 <li>
 Advanced SQL knowledge/experience - complex queries and query optimization
 </li>
 <li>
 Proficiency in programming languages such as Python
 </li>
 <li>
 Experienced in the development of data warehouses and proficient in data modeling
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
 </li>
 <li>
 Experience in building data streams using technologies such as Kafka, Flink, or Spark Streaming is considered a plus
 </li>
 <li>
 Strong problem-solving skills and attention to detail
 </li>
 <li>
 The ability and willingness to learn new technologies on the job
 </li>
 <li>
 Self driven, highly motivated, fast learner, ambitious and creative
 </li>
 </ul>
</div>

Data Engineer

Henkel

<div>
 
 About this Position
 
 The Data Engineer supports the development and operation of Henkel&rsquo;s enterprise metadata platform, DataHub. The role focuses on building scalable data engineering and governance solutions that connect key enterprise platforms into one centralized ecosystem serving global data consumers.
 
 
 As part of a hands-on engineering environment, the position contributes to data quality, automation, and cloud-based capabilities that strengthen how data is discovered, understood, and trusted across Henkel.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Build and maintain scheduled metadata ingestion pipelines integrating platforms such as Databricks Unity Catalog, Power BI, SAP, and Azure Synapse into DataHub
 </li>
 <li>
 Support and enhance governance automation solutions covering dataset compliance, ownership, descriptions, lineage, and automated tagging
 </li>
 <li>
 Develop and improve data quality and completeness scoring capabilities across the enterprise data landscape
 </li>
 <li>
 Work directly with DataHub SDKs, REST APIs, and GraphQL APIs to support metadata operations and integrations
 </li>
 <li>
 Contribute to AI-enabled metadata access capabilities supporting intelligent assistants and modern AI solutions
 </li>
 <li>
 Build and maintain data lineage between source systems and downstream consumers
 </li>
 <li>
 Develop scalable cloud-native solutions running on Azure Kubernetes Service (AKS)
 </li>
 <li>
 Collaborate with global and cross-functional teams to support scalable and reliable enterprise data solutions
 </li>
 <li>
 Support engineering best practices including testing, monitoring, and continuous platform enhancements
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 </li>
 <li>
 Strong experience with Python and SQL, including working with analytical databases such as PostgreSQL or Databricks
 </li>
 <li>
 Experience building and maintaining scalable and scheduled data pipelines, including automation, error handling, and reliability practices
 </li>
 <li>
 Understanding of REST APIs, GraphQL, and system integrations
 </li>
 <li>
 Experience with cloud platforms and services, preferably Microsoft Azure and Databricks
 </li>
 <li>
 Familiarity with containerization technologies and Kubernetes-based environments
 </li>
 <li>
 Experience with metadata platforms or data governance solutions such as DataHub or similar tools is considered a plus
 </li>
 <li>
 Familiarity with CI/CD pipelines, infrastructure automation, and modern engineering practices is an advantage
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 </li>
 <li>
 Ability to work independently and collaborate effectively with technical and non-technical stakeholders
 </li>
 <li>
 Passion for data quality, governance, automation, and scalable engineering solutions
 </li>
 <li>
 Comfortable working with modern technologies, open-source solutions, and continuously learning new concepts and tools
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Global wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Programme provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Data Engineer
 
 
 
 Job Description
 
 
 
 Seeking an experienced Senior Data Engineer to design, development, and optimization of
 
 
 our data pipelines, data models, and analytics infrastructure. The ideal candidate has
 
 
 strong experience in building scalable data platforms across operational systems and
 
 
 enterprise data warehouses.
 
 
 Key Responsibilities
 
 
 Core Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
 </li>
 <li>
 Develop high-quality data integration workflows using modern data engineering tools and frameworks.
 </li>
 <li>
 Optimize data processing performance, storage usage, and pipeline reliability.
 </li>
 <li>
 Implement data quality checks, validation rules, and monitoring dashboards.
 </li>
 <li>
 Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets suitable for reporting and analytics.
 </li>
 <li>
 Manage data security, access controls, and governance best practices.
 </li>
 <li>
 Support production workflows, troubleshoot issues, and improve platform stability.
 
 
 </li>
 </ul>
 Additional Responsibilities for Data Models &amp; Structures (Operational + DW)
 
 
 <ul>
 <li>
 Own the design and maintenance of logical and physical data models for
 
 
 </li>
 </ul>
 operational systems and enterprise data warehouse (OLTP + DWH).
 
 
 <ul>
 <li>
 Define and enforce data modeling standards, naming conventions, and schema governance.
 </li>
 <li>
 Translate business processes into efficient database schemas, including star/snowflake models.
 </li>
 <li>
 Optimize queries and database structures for high-performance analytics and real-time data access.
 </li>
 <li>
 Work closely with DBAs, architects, and product teams to ensure data models meet scalability and performance requirements.
 </li>
 <li>
 Lead database refactoring efforts, schema evolution, and versioning processes.
 </li>
 <li>
 Perform impact analysis for schema changes across upstream and downstream systems.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Must-Have Requirements
 
 
 <ul>
 <li>
 5+ years of experience as a Data Engineer or similar role.
 </li>
 <li>
 Strong Python Skills and Experience
 </li>
 <li>
 Strong SQL /PLSQL skills and experience with relational databases (Oracle, PostgreSQL, MySQL, or similar).
 </li>
 <li>
 Experience with NoSQL databases and streaming systems (Kafka, Kinesis, etc.).
 </li>
 <li>
 Hands-on experience with data processing frameworks (Spark, Databricks, or similar).
 </li>
 <li>
 Proficiency with cloud platforms (AWS).
 </li>
 <li>
 Experience with workflow orchestration (Airflow, Prefect, or similar).
 </li>
 <li>
 Strong understanding of ETL/ELT patterns, data warehousing concepts, and BI fundamentals.
 </li>
 <li>
 Proven ability to design robust data models and optimize database structures.
 </li>
 <li>
 Knowledge of data governance, cataloging, and metadata management.
 
 
 </li>
 </ul>
 Nice-to-Have Skills
 
 
 <ul>
 <li>
 Familiarity with CI/CD, infrastructure-as-code, and DevOps practices.
 </li>
 <li>
 Experience with real-time analytics or high-volume distributed data systems
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Data Engineer

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data Insights &amp; Automation, Digital &amp; Technology Platform Services.
 
 
 
 Location:
 
 Cairo, Egypt.
 
 
 
 
 
 We are looking for a highly skilled and experienced
 
 Azure Data Engineer
 
 with significant technical skills in Azure and strong business acumen to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the Data Platforms team. You will have the opportunity to contribute to the strategy, design and development of our Enterprise and Operational Reporting, providing insights and supporting decision making for end users.
 
 
 The role involves significant collaboration with business and IT teams, opportunity to integrate and transform data from various data systems into structures that are suitable for building analytical solutions, design, develop and implement Azure-based solutions connecting certified and validated data sources to Power BI front-end visualizations - creating a single source of truth for reporting across CCH.
 
 
 
 
 
 
 YOUR KEY RESPONSIBILITIES:
 
 
 
 &bull; Design, build, and maintain scalable ELT/ETL pipelines using Azure Data Factory, ensuring reliability and performance at terabyte scale.
 
 
 &bull; Contribute to end-to-end pipeline health: monitoring, alerting, incident response, and continuous improvement.
 
 
 &bull; Identify and resolve bottlenecks across ingestion, transformation, and serving layers; drive measurable performance gains.
 
 
 &bull; Implement and extend existing medallion architecture patterns.
 
 
 &bull; Develop data ingestion processes from multiple sources, ensuring accuracy, completeness, and consistency.
 
 
 &bull; Support the migration from SAP BW, ensuring data continuity and quality throughout.
 
 
 &bull; Ensure data integrity and availability through appropriate storage solutions, partitioning strategies, and access controls.
 
 
 &bull; Work independently on clearly scoped tasks, communicating progress and blockers regularly with your team.
 
 
 &bull; Collaborate with data scientists, BI analysts, and business stakeholders to understand requirements and translate them into technical solutions.
 
 
 &bull; Participate in agile ceremonies, contribute to sprint planning, and own your backlog items end-to-end.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor's degree in Information Technology, Computer Science, or related field.
 
 
 &bull; 3+ years of experience in data engineering with hands-on exposure to Azure (Azure Data Factory, Azure Data Lake Storage, Fabric).
 
 
 &bull; Proven experience designing and building production-grade data pipelines that handle large volumes of data reliably.
 
 
 &bull; Strong SQL skills and experience with data modelling, schema design, and query optimization.
 
 
 &bull; Hands-on experience with Databricks (PySpark / Spark SQL) for large-scale data transformation.
 
 
 &bull; Working proficiency in Python; exposure to Scala or C#/.NET is a plus.
 
 
 &bull; Understanding of data warehouse and lakehouse concepts.
 
 
 &bull; Ability to manage your own tasks within a defined sprint scope and deliver consistently.
 
 
 &bull; Good communication skills - able to translate technical concepts for business stakeholders and vice versa.
 
 
 &bull; Excellent problem-solving and debugging skills.
 
 
 &bull; Excellent spoken and written English
 
 
 &bull; Communication, organizational and analytical skills
 
 
 
 Preferred Qualifications:
 
 
 
 &bull; Exposure to real-time or near-real-time streaming concepts (Azure Event Hubs, Apache Kafka, or Spark Streaming).
 
 
 &bull; Basic experience with CI/CD practices, Git version control, and familiarity with Azure DevOps.
 
 
 &bull; Familiarity with infrastructure-as-code concepts (Terraform) is a bonus.
 
 
 &bull; Awareness of SAP BW data structures and export mechanisms; prior migration experience is not expected.
 
 
 &bull; Some exposure to big data technologies such as Hadoop, Spark, or Hive.
 
 
 &bull; Curious, problem-solving mindset - comfortable digging into issues with support from senior teammates.
 
 
 &bull; Exposure to Power BI or DAX for understanding how data is consumed downstream.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

Azure Data Engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Database, Project Manager, Data Warehouse, SQL, Quality Assurance, Technology
</div>

Data Engineer (m/f/d)

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 Job Description
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a n Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.
 
 
 <ul>
 <li>
 Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency.
 </li>
 <li>
 Ensure data is structured to support self-service analytics and business intelligence.
 </li>
 <li>
 Work closely with data engineers to define data requirements and enhance ETL pipelines.
 </li>
 <li>
 Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.
 </li>
 <li>
 Implement and enforce data quality best practices to ensure accuracy and consistency.
 </li>
 <li>
 Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes.
 </li>
 <li>
 Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 Strong proficiency in Python, SQL and experience with dbt for data modeling.
 </li>
 <li>
 Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).
 </li>
 <li>
 Familiarity with version control (Git) and CI/CD practices for data workflows.
 </li>
 <li>
 Understanding of data engineering principles, including ETL/ELT processes.
 </li>
 </ul>
</div>

Analytics Engineer II

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150 data engineer jobs In Cairo

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Data Scientist / Senior Machine Learning Engineer

Analytics Engineer II