Senior Data Engineer Teradata VaaS + AWS | SME Fraud Data Warehouse

Location: Remote (UK) Employment Type: Contract / Permanent Seniority: Senior

About the Role We are seeking an experienced Senior Data Engineer / Data Platform Engineer to join a high-impact SME Fraud Data Warehouse (DWH) programme. This is a pivotal role where you will design, build, migrate, and optimise a large-scale analytical platform on Teradata Vantage as a Service (VaaS) with an AWS-based data lake. You will work alongside a talented cross-functional team to deliver a robust fraud analytics platform that drives real business outcomes.

Requirements Key Responsibilities • Design and architect analytical data solutions on Teradata VaaS and AWS • Build, migrate, and optimise large-scale data pipelines and data warehouse structures • Collaborate with data architects, analysts, and fraud SMEs to translate business requirements into technical solutions • Ensure data quality, performance, and reliability across the platform • Contribute to best practices in data modelling, pipeline development, and platform governance

Required Skills & Experience • Strong hands-on experience with Teradata Vantage as a Service (VaaS) • Proven expertise in AWS-based data lake architectures — including S3, Glue, Redshift, and Athena • Experience designing and building large-scale analytical platforms • Solid understanding of data migration strategies and best practices • Strong SQL and data modelling skills

Nice to Have • Exposure to fraud domain data and SME fraud analytics • Experience with data governance and data quality frameworks • Familiarity with DevOps practices (CI/CD, IaC) on AWS