Data Engineer- UK

📋 Description

• Take operational ownership of the usage and adoption pipelines and their alerting
• Reconcile figures derived from our product-usage tool
• Separate development and production environments and mature CI/CD so deployment is repeatable and
• Build and maintain Bronze-to-Gold pipelines in Databricks, Unity Catalog metric views, and the
• Extend automated data quality checks across the underlying gold-layer tables and validate outputs
• Co-own scoping of next usage/adoption signals with Product and Post-Sales: prioritize upsell

🎯 Requirements

• 3–5 years' professional experience building/operating production data pipelines (ETL/ELT) in a
• Hands-on Databricks proficiency: Unity Catalog, Spark Declarative Pipelines, metric views, and
• Strong SQL and Python applied to data engineering work — building, testing, and supporting pipeline
• Experience with data transformation/orchestration tools: Spark Declarative Pipelines, dbt, or
• Solid grounding in data modeling (dimensional/star-schema) for analytics consumption
• Git-based version control and CI/CD practices applied to data pipelines, not just application code