About the role
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