Data Platform Engineer (DevOps) w Poznań, Polska

YOUR PROFILE

• At least 3 years of experience in a similar role, including 1+ year working with cloud platforms.
• Strong experience in Python or another programming language.
• Hands-on experience with DevOps methodologies, especially Infrastructure as Code (Terraform, Bicep).
• Very good communication skills and strong English language skills.

Nice to have:

• Experience with CI/CD pipelines and automation tools.
• Familiarity with cloud data services such as Data Lake, Snowflake, or Synapse.
• Knowledge of containerization (Docker, Kubernetes) and cloud security best practices.
• Certifications such as AWS Certified Data Analytics, Azure Data Engineer Associate, or GCP Professional 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.

WHAT YOU'LL LOVE ABOUT WORKING HERE?

• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform,  Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
• Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Medicover Sport.

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.

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.

,[Automate the deployment and management of cloud-based data platforms using Infrastructure as Code (IaC)., Develop and maintain CI/CD pipelines to streamline data engineering workflows and deployments., Optimize system reliability, scalability, and security by implementing DevOps best practices., Monitor, troubleshoot, and enhance cloud-based data infrastructure to ensure high availability and performance.] Requirements: Cloud platform, Python, DevOps, Communication skills, CD pipelines, Infrastructure as Code, Cloud, Snowflake, Docker, Kubernetes, Security, AWS, Data analytics, Azure, GCP Additionally: Training budget, Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Free parking, Mobile phone, In-house trainings, Modern office, No dress code.