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

Role overview

Qualifications

  • 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
  • Strong SQL and data modelling skills

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

Key facts

Hard skills

About the company

Yadimen Consultancy Ltd logo

Yadimen Consultancy Ltd

Computer Software / SaaS

Welcome to Yadimen, your trusted partner in transforming your business with todays most advanced technology. Our journey began in 2008 as Valwics in APAC Region with the expansion into Europe/EMEA regions through groundbreaking milestones, leading to the inception of Yadimen as an offshoot focusing on today's technology implementation services for the financial services industry. Here’s a snapshot of our evolution. Our story started as Valwics, with a specific focus on Technology transformations & Legacy transformations. This initiative aimed to deliver unmatched Technology solutions to local businesses, setting a robust foundation in technology consulting within APAC regions. With a strong team of 50 consultants, we have established a multinational presence, incorporating operations in India. We enriched our portfolio to include CRM consulting and digital experience management, showcasing proven expertise across multiple sectors, including finance, healthcare, telecommunications, and retail. In 2022, with 100+ expert consultants, Yadimen specialized in the financial services industry and product implementation services, leveraging our deep-rooted expertise from the industry. Operating across the US, UK, Nordic, and Western Europe, Yadimen Consulting offers tailored solutions that address the specific challenges and opportunities of the financial services sector. Yadimen Consulting is committed to building on the strong legacy of our history by providing innovative and strategic consulting services in technology, especially tailored for the financial services industry. Join us as we continue to shape the future of technology consulting and foster the growth and success of our clients globally.

Company details

Company typeSME
IndustryComputer Software / SaaS
Company size51 - 200

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Job description

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




Salary: Day Rate

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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