Data Engineer (AWS & Kinesis/Kafka)

Data Engineer

up to £90,000 + BenefitsManchester (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.