End-to-End Data Engineer - Databricks, SQL & BI

We’re partnering with a modern data platform company. They are scaling their data team and adding a hands-on Data Engineer who can own work across the full stack – from ingestion and modeling through to BI and stakeholder insights. You’ll work in a small, collaborative team where you drive both technical execution and prioritization, with very little heavy product management overhead.

If you like taking a problem from idea to data model to dashboard, this is for you.

What you’ll work on

• Building and maintaining data models and transformations in Databricks
• Writing and optimizing SQL against SQL Server and Postgre
  
  SQL source systems
• Enhancing Python-based ingestion pipelines into the lakehouse
• Developing Databricks SQL views and functions for analytics use cases
• Supporting existing Power BI dashboards and helping migrate to a new BI platform
• Using Git and Databricks Asset Bundles for version control and deployments

What they’re looking for

• 3+ years in data, analytics, or a related role
• Strong SQL (queries, views, transformations) and experience with relational databases (SQL Server or similar OLTP)
• Hands-on Python in a data context (ETL, pipelines, scripting)
• Exposure to Databricks, Spark, or a major cloud data platform (AWS, Azure, or GCP)
• Experience with BI tools (Power BI or similar) and Git/Git Hub

Nice to have

• Experience with CI/CD, Dev Ops, or infrastructure-as-code (Terraform, Azure Dev Ops, Databricks Asset Bundles)
• Understanding of dimensional or lakehouse/medallion data modeling concepts

Who will thrive here

• You like working autonomously and owning projects end to end
• You’re comfortable prioritizing in a fast-moving environment
• You can communicate clearly with both technical and non-technical stakeholders