[Hiring] Senior Data Engineer @Pwc CEE

Role Description

We seek a Senior Data Engineer – Databricks & dbt to build and maintain scalable data pipelines and transformation solutions on Azure Databricks. This hands-on role focuses on Databricks, dbt, SQL, Python/PySpark, Lakehouse architecture, data quality, and reliable end-to-end data delivery.

• Build, test and maintain data pipelines on Databricks using SQL, Python and PySpark.
• Build Python integrations for source APIs, custom ingestion, reusable components and internal tooling.
• Apply Bronze/Silver/Gold modelling principles.
• Develop and maintain the dbt transformation layer, including models, sources, snapshots, tests, contracts, data-quality controls and documentation.
• Translate business logic into modular and performant staging, intermediate and mart models.
• Monitor data quality, source freshness and failed runs.
• Orchestrate workflows using Databricks Workflows/Lakeflow and dbt.
• Work with Unity Catalog, access controls, ownership, lineage and cost governance.
• Collaborate with the Data Architect and Technical Lead.
• Contribute to platform standards, patterns, tooling and peer code reviews.
• Work within Git-based CI/CD processes across DEV, UAT and PROD.
• Support integrations with Azure SQL and, where relevant, Azure Data Factory.
• Explore AI use cases on Databricks, including MCP-based interfaces and Databricks Apps.
• Ideally help coach junior Data Engineers.

Qualifications

• At least 2 years’ hands-on data or analytics engineering experience.
• Production experience with Azure Databricks.
• Demonstrable delivery experience with dbt Core or dbt Cloud.
• Experience delivering work items end to end within a structured delivery team.
• Advanced SQL and analytical/dimensional data modelling.
• Python and PySpark, including modular, testable API integrations.
• Databricks Lakehouse architecture and Bronze/Silver/Gold patterns.
• Databricks Asset Bundles.
• Databricks Workflows/Lakeflow.
• Strong dbt knowledge: incremental models, snapshots, Jinja, macros, tests, contracts, exposures and documentation.
• Git, CI/CD and DevOps practices.
• Understanding of Unity Catalog, governance and data ownership.
• English is required.

Requirements

• Valuable additional experience:
• Technical-lead or senior-contributor experience.
• Running and troubleshooting dbt on Databricks.
• Azure Data Factory.
• Databricks AI capabilities, MCP servers or assistant-based interfaces.
• Databricks Apps.
• Power BI and semantic data modelling.
• Coaching junior engineers.

Benefits

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.