Senior Databricks Data Engineer
Stack Infrastructure Emea · 🇬🇧 London, United Kingdom
Sponsorship Verification Proof
Employer is on the UK Home Office register of licensed sponsors.
UK Home Office Register of Licensed Sponsors (Skilled Worker route): listed as 'STACK Infrastructure EMEA Limited', London — Skilled Worker; Worker (A rating)
An official government register match confirms the employer holds an active sponsor licence in this country. It does not guarantee that every individual role meets minimum salary or skill thresholds — always confirm sponsorship eligibility with the recruiter.
- Verification category
- Employer on official sponsor register
- Role category
- Data
- Last verified
- 2026-10-25
- First indexed
- 2026-10-24
- Posted date
- 2026-10-22
- ATS / Feed source
- Arbeitnow
Role Description (Excerpt)
Role Summary We are looking for a Senior Databricks Data Engineer with proven hands-on Databricks experience to build, develop and manage STACK’s enterprise data platform. This is a production-focused engineering role requiring practical expertise in Databricks, PySpark, Python, SQL and Delta Lake. The role will design reliable pipelines integrating Finance, Delivery, Operations, HR and PMO systems, establish governed and high-quality datasets, and support secure, scalable analytics and reporting. Working with technical and business stakeholders, the successful candidate will take ownership of data engineering solutions and help improve the reliability and performance of the platform. Key Responsibilities: · Design, develop, deploy and maintain production-grade ETL/ELT pipelines using Databricks, PySpark, Python and SQL, integrating APIs, databases, SaaS applications, files and spreadsheets. · Develop and optimize scalable Delta Lake data models and lakehouse architecture for reporting, analytics and future AI use cases. · Build, schedule, monitor and troubleshoot data processing jobs using Databricks Workflows, Lakeflow or Delta Live Tables, as appropriate. · Apply Unity Catalog governance, including access permissions, data ownership, lineage and common data definitions. · Support Databricks workspaces, compute resources, SQL Warehouses, service principals and access management in partnership with relevant technology teams. · Manage development, test and production…
Excerpt only — read the full requirements and apply directly on Stack Infrastructure Emea's career page. Listing data via Arbeitnow. We do not process applications.