Ampstek

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 10+ years of experience, offering a 12-month fixed-term contract in London, UK. Key skills include Python, Apache Spark, AWS tools, and modern software engineering practices. Familiarity with financial indices is preferred.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
December 16, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Fixed Term
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Quality #Apache Spark #Data Engineering #Programming #Jenkins #Version Control #Lambda (AWS Lambda) #Data Pipeline #Automated Testing #Scala #Observability #Code Reviews #AWS (Amazon Web Services) #GitLab #Python #Spark (Apache Spark) #GitHub #Apache Iceberg #S3 (Amazon Simple Storage Service)
Role description
Role – AWS Data Engineer Location: London, UK Hybrid Onsite Fixed Term Contract 12 Months Need 10+ years of experience We are building the next-generation data platform at FTSE Russell β€” and we want you to shape it with us. Your role will involve: β€’ Designing and developing scalable, testable data pipelines using Python and Apache Spark β€’ Orchestrating data workflows with AWS tools like Glue, EMR Serverless, Lambda, and S3 β€’ Applying modern software engineering practices: version control, CI/CD, modular design, and automated testing β€’ Contributing to the development of a lakehouse architecture using Apache Iceberg β€’ Collaborating with business teams to translate requirements into data-driven solutions β€’ Building observability into data flows and implementing basic quality checks β€’ Participating in code reviews, pair programming, and architecture discussions β€’ Continuously learning about the financial indices domain and sharing insights with the team Nice-to-haves: Β· It’s great (but not required) if you also bring: Β· Experience with Apache Iceberg or similar table formats Β· Familiarity with CI/CD tools like GitLab CI, Jenkins, or GitHub Actions Β· Exposure to data quality frameworks like Great Expectations or Deequ Β· Curiosity about financial markets, index data, or investment analytics