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