Data Engineer

Capgemini

Wrocław, Poland
On-site
Develop reliable data pipelines
Integrate data from multiple sources
Ensure data quality and consistency
As a Data Engineer, you will be responsible for developing reliable data pipelines, integrating data from multiple sources and ensuring data quality and consistency across systems

Job Summary

  • As a Data Engineer, you will be responsible for developing reliable data pipelines, integrating data from multiple sources and ensuring data quality and consistency across systems.
  • Join our rapidly growing Insights & Data team of over 400 professionals delivering largescale, cloudnative and datadriven solutions for global clients.
  • Award-winning development programs to support your career at every stage.

Matching Summary

As a Data Engineer, you will be responsible for developing reliable data pipelines, integrating data from multiple sources and ensuring data quality and consistency across systems.

Skills & Requirements

Must-have

  • Develop reliable data pipelines
  • Integrate data from multiple sources
  • Ensure data quality and consistency
  • Proficiency in Python for data manipulation
  • Experience with cloud environments (AWS, Azure, GCP)
  • Experience with large datasets and distributed systems
  • Hands-on experience with relational/NoSQL databases

Nice-to-have

  • Collaborate with architects and analysts
  • Work with modern data platforms like Databricks
  • Support data workflow automation
  • Participate in code reviews
  • Follow engineering best practices
  • Contribute to impactful international projects

Key Requirements

  • Experience as a Data Engineer
  • Clear communication skills in English

Work Rights

Not specified

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