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Capgemini

<div>
 Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
 
 
 
 Your Role
 
 
 
 <ul>
 <li>
 Design and implement robust, scalable data pipelines (e.g., ADF Pipelines, Databricks).
 </li>
 <li>
 Develop maintainable ETL pipelines using PySpark following coding guidelines.
 </li>
 <li>
 Perform data model development and versioning.
 </li>
 <li>
 Work with Azure cloud infrastructure: Data Factory, Data Lake, Databricks.
 </li>
 <li>
 Develop and monitor schema and data migrations.
 </li>
 <li>
 Optimize ETL performance.
 </li>
 <li>
 Transform SQL code into Databricks workflows written in Python.
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 <ul>
 <li>
 Programming: Python, PySpark, PowerShell (optional), pytest (optional).
 </li>
 <li>
 Databases: SQL, MS SQL Server, T-SQL, data modelling techniques.
 </li>
 <li>
 Azure Stack: Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Cosmos DB.
 </li>
 <li>
 Practices &amp; Tools: Clean code, DevOps, Testing, CI/CD (Azure DevOps, Git).
 </li>
 <li>
 Operating Systems: Windows, Azure.
 </li>
 <li>
 Methods: Scrum, Agile.
 
 
 </li>
 </ul>
 
 Nice to have skills:
 
 
 
 <ul>
 <li>
 PowerBI.
 </li>
 <li>
 Additional programming languages.
 </li>
 <li>
 Object-oriented programming.
 
 
 </li>
 </ul>
 Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 Make it real | www.capgemini.com
</div>

Data Engineer (Databricks + PySpark)

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI
 
 
 
 Location
 
 : Egypt (Cairo)
 
 
 
 
 
 We are expanding our team and seeking a highly skilled Data Engineer with strong expertise in Microsoft Azure, solid knowledge of machine learning, experience with modern software delivery practices, and a curious mindset toward artificial intelligence applications to join our Analytics Engineering team within the Digital &amp; Technology Platform Services (DTPS) organization at Coca‑Cola Hellenic. In this role, you will contribute to shaping the strategy, design, and development of advanced analytics solutions that deliver meaningful insights and support data‑driven decision‑making across the business. You will be part of the Data Insights and Artificial Intelligence (DIAI) team, integrating and transforming data into scalable, analytics‑ready solutions and cutting‑edge machine learning applications.
 
 
 
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Design, develop, implement, and optimize scalable, high performance, secure, and cost-efficient data pipelines using Microsoft Azure cloud services and large scale data technologies, including Apache Spark and PySpark built with object-oriented programming principles.
 
 
 &bull; Load and process data from Azure Data Lake, orchestrate Azure Databricks jobs, and manage Azure Data Factory pipelines with a high degree of proficiency.
 
 
 &bull; Develop and implement robust data quality frameworks to ensure data integrity across all stages of the data lifecycle.
 
 
 &bull; Perform data profiling, analysis, and validation to identify, troubleshoot, and resolve data quality issues in a timely and effective manner.
 
 
 &bull; Implement security, governance, and access control measures to safeguard sensitive data within Microsoft Azure environments.
 
 
 &bull; Build and maintain machine learning workflows and data pipelines that support model development, deployment, and ongoing monitoring.
 
 
 &bull; Utilize Git based version control to manage code repositories, apply structured branching strategies, and enable collaborative development practices.
 
 
 &bull; Apply Agile methodologies to plan, prioritize, and deliver data engineering work in iterative development cycles.
 
 
 &bull; Develop and maintain comprehensive documentation for data solutions, including data models, data flows, architectural diagrams, and detailed technical specifications.
 
 
 &bull; Stay up to date with Microsoft Azure data services, large scale data tools, DevOps practices, and broader industry best practices, providing recommendations for adoption and continuous improvement.
 
 
 &bull; Collaborate with Azure developers and data engineers from Coca Cola Hellenic vendors, offering guidance on data engineering techniques, standards, and methodologies.
 
 
 &bull; Work closely with DevOps teams to implement and maintain continuous integration and continuous delivery pipelines for Azure based applications and data workflows.
 
 
 &bull; Support Microsoft Power Business Intelligence developers by evaluating and optimizing data connection methods and data transfer strategies, ensuring high performance, scalability, data quality, and security.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s degree in computer science, engineering, or a related discipline (or equivalent practical experience),
 
 
 &bull; Two or more years of professional experience; Microsoft Azure Data Engineer certification is considered an advantage.
 
 
 &bull; Strong understanding of secure software development and modern software delivery practices, including continuous integration, continuous delivery, automated testing, automated deployments, and extensive experience using Git for version control
 
 
 &bull; Deep expertise with Microsoft Azure data services, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks, with solid experience applying performance optimization techniques for analytics and reporting workloads.
 
 
 &bull; Strong hands-on experience with Apache Spark and PySpark using object-oriented programming, along with strong skills in Python and SQL to design and optimize scalable data pipelines across largescale data architectures that handle big data.
 
 
 &bull; Knowledge of Systems, Applications, and Products Business Warehouse extractors, transformations, and data export processes, along with experience working within Agile and Scaled Agile Framework environments.
 
 
 &bull; Proven ability to ensure data quality, reliability, and operational efficiency, supporting advanced analytics and machine learning workflows.
 
 
 &bull; A foundational understanding of machine learning concepts, feature engineering, and machine learning operations for model deployment and monitoring.
 
 
 
 
 
 
 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>

Data Engineer

e& CX Solutions Egypt

<div>
 
 
 Job Summary:
 
 
 
 We are seeking a
 
 Data Governance Engineer
 
 to join our UAE Technology Offshoring Team. The Ideal candidate will be responsible for the below:
 
 
 Data Modeling with a strong understanding of data warehouse (DWH) concepts, data issues&rsquo; validation, and data mesh architecture and Star Schema
 
 
 The ideal candidate should have hands-on experience with cloud platforms like Azure and Databricks, as well as data catalogue tools.
 
 
 They should also be proficient in data quality tools and familiar with basic data engineering concepts, including data pipelines, ETL processes, and data lineage tracking.
 
 
 Additionally, this role requires strong English and communication skills, as it involves working with diverse cultures and nationalities.
 
 
 The candidate should be comfortable collaborating with cross-functional teams in an agile environment, documenting processes, and engaging with stakeholders across different domains.
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 1. Data Modelling Management:
 
 
 <ul>
 <li>
 Implement and maintain data governance frameworks, policies, and standards.
 </li>
 <li>
 Ensure high-quality data management across DWH models and data sources.
 </li>
 <li>
 Develop and execute data quality rules, validation processes, and monitoring frameworks.
 </li>
 <li>
 Identify and resolve data quality issues in collaboration with business and operation teams.
 </li>
 <li>
 Work with data quality tools to automate data validation and cleansing processes.
 </li>
 </ul>
 
 
 2. Data Warehouse (DWH) &amp; Data Modeling:
 
 
 <ul>
 <li>
 Support the design and governance of data warehouse (DWH) models based on business requirements.
 </li>
 <li>
 Ensure data consistency and integrity across structured and semi-structured datasets.
 </li>
 <li>
 Collaborate with data architects and engineers to optimize DWH performance.
 </li>
 <li>
 Work with Data Mesh architecture to enable decentralized data ownership and governance.
 </li>
 </ul>
 
 
 3. Cloud &amp; Data Engineering Concepts:
 
 
 <ul>
 <li>
 Utilize Databricks for Quality &amp; Analytics.
 </li>
 <li>
 Understand ETL (Extract, Transform, Load) and ELT concepts for data ingestion pipelines.
 </li>
 <li>
 Support the development and governance of data pipelines using tools like Databricks or Apache Spark.
 </li>
 <li>
 Implement data lineage tracking to ensure data transparency and traceability across pipelines.
 </li>
 </ul>
 
 
 4. Data Privacy &amp; Compliance:
 
 
 <ul>
 <li>
 Identification, classification, and protection of PII and sensitive data.
 </li>
 <li>
 Ensure compliance with data privacy regulations such as GDPR, CCPA, and local policies.
 </li>
 <li>
 Maintain data lineage and governance documentation.
 </li>
 </ul>
 
 
 5. Agile &amp; Squad-Based Collaboration:
 
 
 <ul>
 <li>
 Work in an agile environment using the squad model.
 </li>
 <li>
 Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders.
 </li>
 <li>
 Participate in sprint planning, backlog grooming, and agile ceremonies.
 </li>
 </ul>
 
 
 6. Communication &amp; Cross-Cultural Collaboration:
 
 
 <ul>
 <li>
 Work with teams across different cultures and nationalities to align data governance strategies.
 </li>
 <li>
 Clearly communicate technical and governance concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Facilitate discussions, workshops, and training sessions to promote data governance best practices.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 Experience in data governance, data quality, and data modeling
 </li>
 <li>
 
 Technical Expertise:
 
 </li>
 <li>
 Strong knowledge of data governance frameworks and data quality management.
 </li>
 <li>
 Experience with data warehouse (DWH) concepts and Data Mesh architecture.
 </li>
 <li>
 Knowledge of SQL, Python, or Spark
 </li>
 <li>
 Hand-on experience in IBM Tools
 </li>
 <li>
 Experience working with data quality tools
 </li>
 <li>
 Understanding of basic data engineering concepts, including ETL processes, data pipelines, and data lineage tracking.
 </li>
 <li>
 Experience with data catalog tools ( Azure Purview).
 </li>
 <li>
 Hands - on experience in Erwin
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Data Privacy &amp; Compliance:
 
 </li>
 </ul>
 
 Understanding of PII identification, data classification, and regulatory compliance.
 
 <ul>
 <li>
 Agile &amp; Squad Methodology: Experience working in an agile environment with cross-functional squads.
 </li>
 <li>
 Strong English &amp; Communication Skills:
 </li>
 <li>
 Strong verbal and written communication skills to engage with technical and business stakeholders.
 </li>
 </ul>
 
 
</div>

Data Governance Engineer

EVA pharma

<div>
 
 Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
 
 
 
 Job Summary:
 
 
 We are seeking a passionate and talented
 
 Data Engineer Senior Lead
 
 to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain reliable ETL/ELT pipelines that move data from multiple sources into cloud-based warehouses such as Snowflake, BigQuery, or Databricks. Ensure real-time or near-real-time data processing for analytics dashboards and operational systems. Continuously fine-tune performance to handle growing data volumes efficiently
 </li>
 <li>
 Implement automated validation checks, anomaly detection, and alerting systems to maintain high data accuracy. Ensure all pipelines comply with data privacy and security standards (e.g., GDPR, SOC 2). Maintain clear documentation and data lineage to support audits and cross-team visibility
 </li>
 <li>
 Evaluate and introduce new tools like Airflow, dbt, Kafka, or Spark to improve efficiency and scalability. Collaborate with AI/ML teams to enable deployment and integration of advanced models
 </li>
 <li>
 Develop best practices for data modeling, storage optimization, and version control. Align data structures with key business metrics and analytics use cases to ensure consistency across departments
 </li>
 <li>
 Conduct design reviews, ensure high-quality code, and promote a collaborative culture focused on innovation and continuous improvement. Also, Mentor and coach data engineers to enhance their technical skills and improve project execution
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
 </li>
 <li>
 7-10 years of experience in data engineering or related fields, with at least 2 years in a leadership role
 </li>
 <li>
 Proven ability to design, build, and optimize scalable ETL/ELT pipelines and data workflows for analytics and operational use
 </li>
 <li>
 Strong skills in SQL and Python, with hands-on experience in cloud-based data platforms and distributed systems
 </li>
 <li>
 Deep understanding of data modeling, data warehousing, orchestration tools (e.g., Airflow, Prefect), and big data technologies such as Spark and Databricks
 </li>
 <li>
 Solid grasp of data governance, privacy, and security best practices, combined with strong problem-solving, architectural design, and cross-functional collaboration abilities
 </li>
 </ul>
</div>

Senior Data Engineer Lead

<div>
 
 
 Location:
 
 New Cairo, Egypt
 
 
 
 Department:
 
 Data Science &amp; AI
 
 
 
 Role reports to:
 
 Data Science &amp; AI Manager
 
 
 
 Contract Type:
 
 Permanent
 
 
 
 Work Model:
 
 Hybrid (4 days from office)
 
 
 
 
 
 
 
 
 We are seeking a seasoned and self-organizing Senior Data Scientist to join our Data Science in Digital Commerce team. This role is ideal for someone who combines deep technical expertise with strategic thinking and a strong sense of initiative. You will be expected to proactively drive progress, anticipate project needs, and ensure that analytical work is not only technically sound but also aligned with business priorities and customer impact. The role requires someone who naturally engages across teams and stakeholders, contributing to a collaborative and outcome-oriented environment.
 
 
 
 
 
 
 IN THIS EXCITING ROLE YOU WILL:
 
 
 
 
 
 
 &bull; Lead the development and deployment of advanced analytics and traditional machine learning solutions, working hands-on, as proof-of-concept and in production environments.
 
 
 &bull; Manage sub-project workflows independently, identifying next steps and ensuring timely execution at feature level.
 
 
 &bull; Collaborate with cross-functional teams to translate complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences.
 
 
 &bull; Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications.
 
 
 &bull; Deliver scalable, maintainable solutions that support customer and business needs.
 
 
 &bull; Lead a small team of data scientists, while collaborating with internal engineering team
 
 
 &bull; Have opportunities for professional training and certifications as well as mentorship.
 
 
 
 
 
 
 YOU CAN BE SUCCESFULL IN THIS ROLE IF YOU HAVE:
 
 
 
 
 
 
 &bull; MSc or PhD in Data Science, Engineering or a related field.
 
 
 &bull; A mindset geared toward ownership, communication, initiative, and continuous improvement.
 
 
 &bull; Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic.
 
 
 &bull; Minimum 5 years of experience in data science roles, with a strong track record of delivering analytics solutions (propensity modeling, forecasting, optimization) both as proof-of-concept and in production.
 
 
 &bull; Team leadership and ideally people management experience of at least one year.
 
 
 &bull; Proficiency in Python/Pyspark, SQL and ML libraries, and ideally certification(s) in Databricks or Azure, as well as experience with PowerBI. Other cloud services are also acceptable.
 
 
 &bull; Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development.
 
 
 &bull; Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated.
 
 
 &bull; Great communication skills and the ability to engage with both technical and business stakeholders.
 
 
 &bull; Functional experience in the Digital area (such as Marketplaces, B2C apps, e-Retailers) is a plus.
 
 
 
 
 
 
 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 - for us and for you - when we OPEN UP.
 
 
 
 
 
 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>

Senior Data Scientist

<div>
 
 
 Department:
 
 Digital Factory, Digital &amp; Technology Platform Services.
 
 
 
 Location:
 
 Egypt, Cairo.
 
 
 
 
 
 We are looking for a highly skilled and experienced
 
 Senior Data Developer (Azure)
 
 with
 
 significant technical skills in Azure and business acumen
 
 to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the BI Reporting 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 &amp; 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 and creating a single source of truth for reporting in CCH.
 
 
 
 
 
 
 YOUR KEY RESPONSIBILITIES:
 
 
 
 &bull; Assist in the design, development, and maintenance of ETL (Extract, Transform, Load) processes using Azure Data Factory
 
 
 &bull; Implement data ingestion processes from various data sources into Azure data storage solutions.
 
 
 &bull; Work with Azure SQL Database, Azure Data Lake Storage, and Hive &amp; Databricks to store and manage large datasets (Terabytes of data)
 
 
 &bull; Ensure data integrity and availability by implementing appropriate storage solutions
 
 
 &bull; Integrate data from various sources, ensuring accuracy, completeness, and consistency
 
 
 &bull; Collaborate with data scientists and analysts to understand data requirements and provide necessary support
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor's or Master&rsquo;s degree in computer science, information technology, data science, or a related field (or an equivalent of 7+ years of practical experience in a tech-domain)
 
 
 &bull; Master&rsquo;s degree in computer science, information technology, data science, or a related field (or an equivalent of 7+ years of practical experience in a tech-domain)
 
 
 &bull; Hands-on experience with MS Power BI, MS PowerApps, MS Azure Data Factory, MS Azure Data Lake Store, SQL Database (T-SQL), DAX &amp; Power Query M (3+ years)
 
 
 &bull; Proven track record of implementing proof-of-concept (POC) backend solutions
 
 
 &bull; Expert knowledge with cloud platforms (Azure, Google Cloud Storage, Amazon), preferably Microsoft Azure &ndash; with a focus on data warehousing &amp; backend development
 
 
 &bull; Strong programming skills in languages such as C#, .NET, Python, Scala or Java
 
 
 &bull; Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs)
 
 
 &bull; Familiarity with big data technologies such as Hadoop, Spark, and Hive as well as strong knowledge with data manipulation frameworks such a PySpark
 
 
 &bull; Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs) are a plus
 
 
 &bull; First proven leadership capabilities towards junior employees and a proactive approach to project management is a plus
 
 
 &bull; Strong analytical &amp; problem-solving abilities, as well as good communication skills
 
 
 &bull; Strong willingness to learn and adapt to new technologies and tools
 
 
 &bull; Good proficiency in English as a day-to-day business language is a must.
 
 
 
 
 
 
 Preferred qualifications:
 
 
 
 &bull; Strong hands-on understanding of data modelling concepts and techniques as well as DevSecOps concepts and tools and practical experience in their implementation
 
 
 &bull; Strong understanding of DevOps principles and experience with CI/CD pipelines
 
 
 &bull; Working experience within the SAFE Agile framework is appreciated
 
 
 &bull; Knowledge of SAP BW (extractors, transformations, queries, data export) and Azure Data Sources would be appreciated
 
 
 
 
 
 
 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>

Senior Data Developer (Azure)

Explore 681+ Data engineer databricks pyspark in Cairo this March. Find roles across top companies and apply now to boost your career.

681 data engineer databricks pyspark jobs In Cairo

Data Engineer (Databricks + PySpark)

Data Engineer (Databricks + PySpark)

Data Engineer

Data Governance Engineer

Senior Data Engineer Lead

Senior Data Scientist

Senior Data Developer (Azure)