> Markdown version of [/jobs/ext/4123595-databricks-developer-london-uk](https://www.wearedevelopers.com/jobs/ext/4123595-databricks-developer-london-uk). 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 Developer - London, UK - **Company:** Capgemini - **Location:** London, UK (Remote available) - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Computer Programming, Continuous Integration, Extract Transform Load (ETL), Data Transformation, Data Security, Data Warehousing, Database Theory, DevOps, Apache Hive, Python (Programming Language), Performance Tuning, Cloud Services, Azure Data Lake, SQL Databases, Unstructured Data, Data Processing, Azure Data Factory, Apache Spark, Git, Pyspark, Data Pipelines, Databricks - **Published:** October 28, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8839c262139d7571 ## About the Role * Strong experience with Azure Databricks * Expertise in PySpark Spark SQL and Python * Handson experience with Azure Data Factory ADF * Strong SQL programming and database concepts * Experience with Azure Data Lake Storage ADLS Gen2 * Knowledge of ETL Data Warehousing concepts * Experience with Git CICD and DevOps practices Understanding of data modelling and performance tuning * ## Description * Design develop and maintain scalable ETLELT pipelines using Azure Databricks * Develop data processing solutions using PySpark Spark SQL and Python * Ingest transform and optimize structured and unstructured data from multiple sources * Build and maintain data lakes and medallion architecture Bronze Silver Gold layers * Integrate Databricks with Azure Data Factory ADF Azure Data Lake Storage ADLS Synapse and other cloud services * Optimize Spark jobs for performance and cost efficiency * Implement data quality checks monitoring and troubleshooting processes * Collaborate with business stakeholders' data analysts and architects to understand data requirements Ensure adherence to data governance security and compliance standards *