Informacje o stanowisku

We’re building a team to bring structure and clarity to how data work is planned and delivered - and we’re looking for someone who enjoys process thinking and cross-team collaboration.

We are looking for:

A Tech Lead with strong hands-on Data Engineering experience in Databricks on Azure, who can design and optimize data pipelines and lead delivery in a distributed team setup.

Youll be joining...

A project for a large US insurance client. The work focuses on introducing and optimizing data flows between the client’s insurance core system and Databricks - improving reliability, performance, and overall data platform structure.

• 5+ years of experience as a Data Engineer (or similar)
• 2+ years in a Tech Lead role (technical leadership, guiding solutions, supporting the team)
• Strong PySpark skills (distributed processing - not only Pandas)
• Hands-on experience with Databricks, including:
  • Environment & compute configuration
  • Lakeflow Declarative Pipelines
  • Asset Bundles and CI/CD
• Understanding and practical use of Medallion Architecture
• Experience with Azure, e.g. Key Vault, Azure SQL, ADF (and similar services)
• English - must have (US-based client)

Nice to have:

• Experience in insurance or finance
• Consulting background
• Data modeling experience

We’re building a team to bring structure and clarity to how data work is planned and delivered - and we’re looking for someone who enjoys process thinking and cross-team collaboration.

We are looking for:

A Tech Lead with strong hands-on Data Engineering experience in Databricks on Azure, who can design and optimize data pipelines and lead delivery in a distributed team setup.

Youll be joining...

A project for a large US insurance client. The work focuses on introducing and optimizing data flows between the client’s insurance core system and Databricks - improving reliability, performance, and overall data platform structure.

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