Description:
Data Engineer
up to £90,000 + Benefits
London (Hybrid)
This is a great opportunity to join a high-growth adtech scale-up where you can take ownership of large-scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI.
THE COMPANY This is a UK-based adtech SaaS platform that using machine learning and real-time behavioural analytics to help brands optimise performance.
THE ROLE Key responsibilities include:
- Designing, building, and maintaining batch and streaming data ingestion pipelines for high-volume event data
- Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency
- Refactoring poorly structured data into clean, well-governed, ML-friendly datasets
- Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation
- Ingesting and integrating new and under-utilised data sources
- Working on greenfield projects while scaling existing data infrastructure to billions of data points
YOUR SKILLS AND EXPERIENCE You will bring strong capability in:
- Python and SQL
- AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda)
- End-to-end ownership, from proof-of-concept through to production
THE BENEFITS You will receive a salary of up to £90,000 depending on experience, along with a comprehensive benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
