Senior Databricks Data Engineer
Stack Infrastructure Emea · London Office · Full-time
Description
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…
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Where is this Senior Databricks Data Engineer job located?
The listing places this job in London Office.
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The employer shown on the listing is Stack Infrastructure Emea.
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It was posted on 22 October 2026. Jobs that stay open too long are closed automatically, so apply soon if you are interested.
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