Databricks Data Engineer

• Design and build batch and streaming pipelines with Spark, Delta Live Tables and Delta Lake
• Implement medallion architectures with Unity Catalog governance
• Migrate legacy warehouses (Redshift, Snowflake, on-prem) to the lakehouse
• Optimize cluster configuration and pipeline cost — and explain the trade-offs to clients
• Work directly with client engineering teams in US and European timezones (structured overlap hours, not night shifts)

What we’re looking for

• 3–6 years in data engineering, with at least one year of hands-on Databricks or serious Spark experience
• Strong Python and SQL — you write code that other engineers review and reuse
• Experience running pipelines in production: monitoring, incident handling, backfills
• Clear written and spoken English — you’ll communicate directly with clients
  • Databricks certification is a plus; if you don’t have it, we’ll pay for you to get it