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 role
Insights &Data practice delivers cutting-edge data centric solutions.Most of our projects are Cloud amp; Big Data engineering. We develop solutions to process large, also unstructured, datasets, with dedicated Cloud Data services on AWS, Azure or GCP.We are responsible for full SDLC of the solution: apart from using data processing tools (e.g., ETL), we code a lot in Python, Scala or Java and use DevOps tools and best practices. The data is either exposed to downstream systems via API, outbound interfaces or visualized on reports and dashboards.Within our AI CoE we deliver Data Science and Machine Learning projects with focus on NLP, Anomaly Detection and Computer Vision.Additionally, we are exploring the area of Quantum Computing, searching for practical growth opportunities for both us and our clients.Currently, over 250 of our Data Architects, Engineers and Scientists work on exciting projects for over 30 clients from different sectors (Financial Services, Logistics, Automotive, Telco and others)
Come on Board!
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
- Practical benefits: permanent employment contract from the first day; hybrid, flexible working model; equipment package for home office; private medical care with Medicover; life insurance; Capgemini Helpline; NAIS benefit platform;
- Access to 70+ training tracks with certification opportunities; platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUBCommunity Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI.
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.
Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube.
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.
Wrocław, PL Warszawa, PL Poznań, PL Gdańsk, PL Kraków, PL