Senior Data Engineer with Databricks (Warsaw)

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

You will be:

- Designing, developing, and maintainig scalable data ingestion and transformation pipelines.
- Building metadata-driven data processing frameworks and reusable engineering components.
- Developing and maintaining data flows from landing, Bronze, and Silver layers through analytical consumption layers.
- Creating and optimizing ETL/ELT processes supporting enterprise data products.
- Implementing reconciliation, data validation, and automated testing capabilities.
- Supporting development of data product delivery frameworks and engineering templates.
- Participating in source-focused and domain-focused delivery pods.
- Collaborating with data modelers, BI engineers, platform engineers, architects, and client stakeholders.
- Supporting migration of legacy data processing workloads and analytical assets.
- Developing monitoring, logging, and operational support mechanisms for data pipelines.
- Contributing to CI/CD-driven engineering practices and automation initiatives.
- Supporting knowledge transfer and handover activities to client engineering teams.
- Participating in data quality, troubleshooting, and performance optimization activities.

Your profile:

• Strong experience building data pipelines and transformation solutions.
• Hands-on experience with Databricks.
• Strong SQL skills and experience working with large-scale datasets.
• Experience implementing ETL/ELT processes in cloud environments.
• Experience developing data integration and transformation frameworks.
• Familiarity with modern data architecture concepts, including Bronze, Silver, and Gold layers.
• Experience with automated testing, reconciliation, and data quality processes.
• Knowledge of software engineering best practices, version control, and CI/CD principles.
• Ability to work in cross-functional delivery teams.
• Strong analytical, troubleshooting, and problem-solving skills.
• Effective communication and stakeholder collaboration skills.
• Experience delivering solutions in enterprise-scale environments.
• Work from the European Union region and a work permit are required.

Nice to have:

• Experience with metadata-driven processing frameworks.
• Familiarity with data product-oriented architectures.
• Knowledge of dbt or modern analytics engineering practices.
• Experience working with Databricks Asset Bundles (DABs) and deployment automation.
• Experience with Infrastructure as Code and cloud-native data platforms.
• Exposure to GxP-regulated environments.
• Experience supporting large-scale data modernization or migration programs.
• Knowledge of reconciliation automation and enterprise data governance practices.
• Experience mentoring junior engineers and contributing to engineering standards.