Senior Data Engineer

Xebia is a global tech company with over 1,000 experts delivering cloud, data, and software solutions. The company originated from two Polish companies, PGS Software and GetInData, and serves clients across various industries including fintech, e-commerce, aviation, logistics, media, and fashion. Xebia partners with Databricks, dbt, Snowflake, Azure, GCP, and AWS, and was the first AWS Premier Partner in Poland.

• Strong commercial experience as a Senior Data Engineer
• Very good programming skills in Python and one of JVM languages: Java, Kotlin, or Scala
• Proven experience in building and maintaining streaming data pipelines
• Hands-on experience with Google Cloud Platform, especially BigQuery, Cloud Composer, Dataproc, Dataflow, Cloud Run
• Advanced knowledge of SQL and dbt
• Solid understanding of software engineering best practices: TDD, Clean Code, CI/CD pipelines
• Very good command of Linux/Unix environments
• Experience with Docker and daily use of Git or other version control systems
• Strong teamwork skills and a proactive, positive attitude
• Fluent Polish and English at B2+ level
• Readiness to participate in an on-call rotation (24/7, every 5-8 weeks)
• Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery

Nice to have:

• Experience with Spring Framework
• Knowledge of Apache Beam, Scio, and Google Dataflow
• Practical experience with Apache Flink
• Experience with Infrastructure as Code, especially Terraform
• Experience with Spark or PySpark (not necessarily in a Hadoop environment)
• Experience applying GenAI in a structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations
• Interest in and familiarity with emerging AI-driven practices, with willingness to explore beyond standard approaches

• Developing and automating tools within the Data Platform, including clickstream data processing and building an ID Graph service
• Implementing and enhancing Self-Service Analytics solutions
• Designing, building, and maintaining effective streaming data pipelines
• Supporting product, engineering, and analytics teams in building data-driven products and services
• Solving technical and analytical issues reported via internal communication channels
• Applying software engineering best practices such as Clean Code, TDD, and CI/CD
• Participating in an on-call / incident response rotation (24/7, every 5-8 weeks)

Work from the European Union region and a work permit are required.