Senior Azure Data Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

YOUR TEAM

Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting-edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision. 

YOUR TASKS

• Designing and implementing Azure Data solutions for handling extensive and/or unstructured datasets;
• Utilizing Azure Databricks and other services for advanced data processing, analytics, and machine learning tasks, optimizing performance and scalability;
• Collaborating with solution architects to establish and promote data engineering best practices and standards within the Azure ecosystem;
• Implementation, optimization and testing of modern DWH/Big Data solutions based on Azure cloud platform and Continuous Delivery / Continuous Integration environment;
• Data processing efficiency improvement, migrations from on-prem to public cloud platforms;
• Mentoring and guiding junior data engineers in Azure-specific technologies, fostering a culture of continuous learning.

YOUR PROFILE

• Strong experience in Big Data or Cloud projects in the areas of processing and visualization of large and unstructured datasets (in different phases of Software Development Life Cycle);
• Practical knowledge of the Azure cloud in Storage, Compute (+Serverless), Networking and DevOps areas supported by commercial project work experience;
• Very good knowledge of Python and SQL;
• Practical Azure cloud knowledge (for example from the MS Learn courses) supported with certificates (for example DP-900, DP-200/201, AZ-204, AZ-400);
• Experience with several of the following technologies: Data Lake Gen2, Event Hub, Data Factory, DataBricks, Azure DWH, API Azure, Azure Function, Power BI;
• Very good command of English.

WHAT YOU'LL LOVE ABOUT WORKING HERE?

GET TO KNOW US

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

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ABOUT CAPGEMINI

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 over 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 2025 global revenues of €22.5 billion.