Method Resourcing
Data Engineer
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Method Resourcing are delighted to partner with a Financial Technology start-up looking to hire a Data Engineer after an injection of funding into the business has triggered a new phase of growth.
This firm are a UK personal-loan provider that offers unsecured loans with repayments linked to a percentage of applicants salary.
As a Data Engineer, you'll take a hands-on role in developing, maintaining and improving the data infrastructure and production workflows behind our client's lending platform. This role sits close to both the data and the real business problems being solved. You'll work with loan, credit bureau, open banking and customer performance data, helping to keep it reliable, accessible and well-structured for credit decisioning, analytics and modelling.
What You'll Do
- Design, build and maintain reliable data pipelines and workflows supporting the credit lifecycle
- Maintain, develop and deploy AWS Lambda functions used in production decisioning processes
- Test and validate production changes, including understanding upstream and downstream dependencies
- Work across AWS services including Lambda, EC2, CloudWatch and RDS
- Define and maintain data structures, mappings and transformations across internal and external data sources
- Develop and maintain ETL and ELT processes supporting decisioning, analytics and reporting
- Use Python and SQL to analyse data, investigate issues and build production data processes
- Work with credit bureau, open banking and internal customer data
- Improve monitoring, controls and documentation across data and production workflows
- Work closely with credit, product and engineering teams to translate business requirements into reliable technical solutions
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What They're Looking For
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- 3+ years of relevant experience in Data Engineering or a closely related technical role
- Strong hands-on experience in AWS production environments, including services such as Lambda, EC2, CloudWatch and RDS
- Strong Python and SQL skills applied to data engineering and analysis
- Experience designing, building and maintaining ETL or ELT pipelines and data integrations across interconnected systems
- Strong analytical and problem-solving skills, with the ability to investigate unfamiliar issues independently
- Excellent attention to detail, particularly when working on live production processes
London based, 2 days per week in the office. No visa sponsorship given on this occasion. #followthemethod
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