Data Engineer (Databricks)

Xebia is a global tech company with a presence in Central and Eastern Europe, originating from two Polish companies: PGS Software and GetInData. The company has over 1,000 experts working on cloud, data, and software projects across various industries including fintech, e-commerce, aviation, logistics, media, and fashion. Xebia partners with major clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, and InPost. The company uses modern open-source technology stacks and is a trusted partner of Databricks, dbt, Snowflake, Azure, GCP, and AWS, being the first AWS Premier Partner in Poland.

• 2–4+ years of professional experience in Data Engineering, Software Engineering, or Operational Engineering
• Experience with Databricks and PySpark for large-scale data processing
• Strong proficiency in Python, including building and debugging data pipelines and automation scripts
• Hands-on experience with Apache Airflow (DAG development, operators, troubleshooting)
• Very good knowledge of SQL, including complex joins, window functions, and JSON-based data
• Experience working with cloud platforms (AWS and/or GCP)
• Upper-intermediate English
• Readiness to work in a hybrid setup (in the Warsaw office once per week)

Nice to have:

• Experience with Unity Catalog
• Experience with database migrations and schema/version management
• Comfort working in environments with frequent production support and delivery deadlines
• Experience building agentic or AI-driven automation workflows

• Designing, building, and maintaining end-to-end data pipelines for client-facing measurement reports and licensed datasets
• Operating and troubleshooting Apache Airflow DAGs supporting scheduled and on-demand data deliveries
• Managing push-based delivery workflows including cloud storage, file transfers, and delivery verification
• Investigating and resolving production incidents across distributed systems such as Airflow, databases, and cloud storage
• Implementing automation and AI-driven agents to streamline operational processes and data validation
• Supporting custom delivery requests including matching files, cross-referencing datasets, and bespoke client configurations
• Developing data quality and validation tooling to ensure accuracy before client delivery
• Writing and maintaining database migrations for delivery configurations and client setups
• Collaborating with product, engineering, measurement science, and client-facing teams
• Documenting operational processes, runbooks, and delivery workflows

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