Senior Data Platform Engineer Location: Primarily Remote (1 day/month in-office) Salary: £70,000 – 85,000 Join a cutting-edge Data Platform Engineering team working on real-time analytics and microservices architecture to power one of the most sophisticated martech solutions in the industry. About the Role: Reporting directly to the Platform Engineering Manager, you'll be a vital part of a team that enables real-time data processing and analytics. This role involves developing and maintaining microservices, capturing user events and feeding them into a Snowflake-powered analytics platform. What You’ll Be Doing: Developing microservices that handle real-time data ingestion from APIs into the data warehouse Working with live-streaming data Writing clean, efficient Java code (Python is a bonus!) Enhancing and scaling the experimentation framework to support data science and ML operations Ensuring high-quality, accurate data delivery across data platforms Collaborating with analytics engineers and data scientists to enable fast insights Participating in a CI/CD pipeline to deliver high-velocity, production-ready systems This Role Requires: Strong Java skills Experience with live-streaming technologies such as Kafka, Flink or Kinesis Solid understanding of event-driven architecture Experience with CI/CD practices and tools Familiarity with microservices and modern cloud-based platforms Exposure to MLOps and Kubernetes is a big plus Computer Science degree or equivalent practical experience