> Markdown version of [/jobs/ext/3240900-databricks-engineer](https://www.wearedevelopers.com/jobs/ext/3240900-databricks-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks engineer - **Company:** LA International - **Location:** Wembley, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Audit Trail, Microsoft Azure, Identity and Access Management, Python (Programming Language), Network Security, Runbook, SQL Databases, Privacy Controls, Data Lakes, Terraform, Databricks - **Published:** September 22, 2026 - **Apply:** https://www.lainternational.com/careers/databricks-engineer-united-kingdom-lzm150766datab_1790075079-28965?navigation=true ## About the Role Strong Unity Catalog, Delta Lake, and Delta Sharing experience - Solid SQL and Python, plus Terraform or other infrastructure-as-code - Understanding of privacy-enhancing techniques and regulations (GDPR, UK GDPR, CCPA, sector rules) - Experience with IAM, network security, and audit on AWS or Azure ## Description We are looking for a Databricks engineer who can start a new assignment in the next couple of weeks. You will have at least 2 years of experience on Databricks and more than 6 years in data or platform engineering. - Architect and configure Databricks Clean Rooms (Delta Sharing-based) across clouds and workspaces, including cross-cloud and cross-region collaboration - Set up Unity Catalog metastores, catalogs, and sharing so only approved tables, views, and volumes enter each clean room - Build and approve clean room notebooks and queries (SQL, Python) for joint analytics, audience overlap, and ML scoring - Apply privacy controls: row filters, column masks, aggregation thresholds, and pseudonymisation or hashing of join keys - Define collaborator onboarding, output approval workflows, and revocation processes - Configure audit logging, lineage, and monitoring for every clean room run - Work with legal, privacy, and security teams to translate data-sharing agreements into technical controls - Produce architecture diagrams, runbooks, and reference patterns for reuse