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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
