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

• Design and implementation of solutions processing large and unstructured datasets (Data Lake Architecture, Streaming Architecture);
• 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.

YOUR PROFILE

• At least 3 years of 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;
• Theoretical Azure cloud knowledge (for example from the MS Learn courses) supported with certificates (for example DP-900, DP-200/201, AZ-204, AZ-400);
• Familiarity with several of the following technologies: Data Lake Gen2, Event Hub, Data Factory, Databricks, Azure DWH, API Azure, Azure Function, Power BI;
• At least basic knowledge of one of this programming languages: Python/Scala/Java/Bash;
• Very good command of English (German language would be an advantage).

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.