> Markdown version of [/jobs/ext/4697274-azure-cosmos-db-developer](https://www.wearedevelopers.com/jobs/ext/4697274-azure-cosmos-db-developer). 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). --- # Azure Cosmos DB Developer - **Company:** Gazelle Global Consulting - **Location:** Epsom, United Kingdom - **Contract:** Temporary contract - **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Information Engineering, DevOps, Distributed Systems, Python (Programming Language), MongoDB, Node.Js, NoSQL, Query Optimization, SQL Databases, Data Streaming, Apache Spark, Database Performance, Indexer, Gitlab, Git, Microsoft Fabric, Pytest, Pyspark, Integration Tests, Cosmos DB, Data Pipelines - **Published:** November 13, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/azure-cosmos-db-developer/56066398 ## About the Role Strong hands-on experience with Azure Cosmos DB, including SQL API and Mongo API. Excellent knowledge of Cosmos DB Change Data Feed (CDF) and Spark integration. Strong PySpark and Apache Spark distributed computing experience. Experience with Cosmos DB SDKs, including .NET, Java, Python or Node.js. Expertise in NoSQL data modelling, partitioning, indexing and query optimisation. Experience managing throughput and minimising Request Unit (RU) consumption. Hands-on experience with Pytest and automated unit/integration testing. Knowledge of Git, GitLab DevOps and CI/CD pipelines. Experience with Microsoft Fabric and PySpark data pipelines. ## Description We are looking for an experienced Azure Cosmos DB Developer to join a major financial services technology programme. This is an excellent opportunity to work on critical application and data engineering initiatives, building scalable cloud-native solutions within a complex financial markets environment. You will play a key role in developing and optimising Cosmos DB applications, improving database performance and delivering efficient data pipelines using Microsoft Fabric and PySpark.