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Yadimen Consultancy Ltd
Computer Software / SaaS
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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.
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
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