Data Engineer with AWS & Azure
at Capgemini
Posted 5 days ago
No clicks
- Compensation
- Not specified
- City
- Warsaw
- Country
- Poland
Currency: Not specified
Capgemini is seeking a Data Engineer to design and optimize cloud-based data solutions in healthcare, primarily using AWS and Azure. You will design, implement, and maintain ETL pipelines, work with Azure Data Factory, Synapse, Databricks, and AWS Redshift, and ensure data quality, security, and compliance. The role requires 2–4 years of data engineering experience, Python and SQL proficiency, and English at B2 level, with a hybrid Warsaw location. This position offers opportunities to collaborate across teams and work on impactful healthcare projects.
What do you need to know?
Join Capgemini and help shape the future of healthcare data. As a Data Engineer, you’ll design and optimize cloud-based data solutions that power critical insights and improve patient outcomes. Your work will directly contribute to projects that make a real difference.
Location: Warsaw (Hybrid)
Experience: 2–4 years in data-related roles
Language: English (minimum B2 level)
Join Our Growing Data Engineering Teams in Warsaw!
Capgemini is expanding its database-focused teams located in this office. We are looking for talented Data Engineers to join us in shaping innovative solutions for our clients. If you are passionate about data, cloud technologies, and building scalable systems, we have exciting opportunities for you!
We are currently hiring for the following roles (mid and senior levels):
- Data Engineer – Snowflake
- Data Engineer – AWS Redshift
- Data Engineer – Azure Databricks (senior level preferred)
As part of our team, you will work on cutting-edge projects, collaborate with experts, and contribute to delivering high-quality data solutions in a dynamic and supportive environment.
Why Capgemini?
- Work with leading technologies and global clients
- Professional growth and learning opportunities
- A collaborative and inclusive culture
- Flexible work arrangements
Ready to take the next step in your career? Apply now and become part of our growing data engineering community in Warsaw!
How you will work?
- Design, implement, and maintain data processing solutions in AWS and Azure environments.
- Build and optimize ETL pipelines and data integration workflows.
- Develop and maintain data pipelines using Azure Data Factory, Synapse, and Databricks.
- Ensure data quality, security, and compliance standards across all solutions.
- Collaborate with analysts, business stakeholders, and cross-functional teams to deliver reliable data solutions.
- Support data architecture improvements and cloud migration projects.
Who we are looking for?
- 2–4 years of experience in data engineering (ETL, integration, modeling).
- Strong knowledge of AWS or Azure, or both services (Azure Databrick, Data Lake, Data Factory, Glue, Synapse, Snowflake, AWS Redshift).
- Proficiency in Python and SQL.
- Familiarity with CI/CD tools and basic DevOps concepts.
- Understanding of data integration and data quality principles.
- English at B2 level or higher.
- Healthcare or fintech/pharma project experience is a plus.
WHAT WILL YOU LOVE ABOUT WORKING HERE?
- Be part of a collaborative, inclusive team that values innovation and knowledge sharing.
- Gain satisfaction from working on impactful healthcare projects that improve lives.
- Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern Wrocław office with work from home - ask your recruiter about the details
- Get early support thanks to Buddy Programs: learn in the flow of work alongside our experts who collaborate on top-tier solutions for global enterprises, including 145 Fortune 500 companies
- Feel empowered to grow with continuous learning opportunities and cutting-edge technologies: access over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform and dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings
