6 days ago
Wrocław, Poland +3 moreMid Level
Responsibilities
- Design, build, and maintain ETL/ELT data pipelines in cloud and distributed environments.
- Process, clean, and transform large datasets across multiple platforms.
- Integrate data from databases, APIs, and streaming sources.
- Ensure data quality, consistency, and performance across workflows and environments.
- Collaborate with Data Architects, analysts, product teams, and engineering teams to implement data solutions.
Requirements
- Experience as a Data Engineer with strong practical data-processing skills.
- Proficiency in Python for data manipulation, automation, and integration.
- Experience working with AWS, Azure, or GCP cloud environments.
Benefits
- Yearly financial bonus, private medical care through Medicover, preferential access to additional medical packages, life insurance, and the NAIS benefits platform.
- Access to more than 70 training tracks with certification opportunities through NEXT.
- Free access to Education First, Pluralsight, TED Talks, Coursera, and Udemy Business learning resources.
- Hybrid working after onboarding, with office and work-from-home options.
- Home office package including a laptop, monitor, and chair.
Tech Stack
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.