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

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