Data Engineer (AWS and 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 dataImproving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiencyRefactoring poorly structured data into clean, well-governed, ML-friendly datasetsBuilding pipelines to support ML workflows, feature stores, A/B testing, and experimentationIngesting and integrating new and under-utilised data sources Working on greenfield projects while scaling existing data infrastructure to billions of data pointsYOUR SKILLS AND EXPERIENCE You will bring strong capability in: Python and SQLAWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda)End-to-end ownership, from proof-of-concept through to productionTHE 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.
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