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Senior AWS Data Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Prism Digital
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Senior AWS Data Engineer | Snowflake & Airflow | High-Growth Data Platform Team The Role

You’ll join a rapidly scaling data engineering function at the heart of a major transformation programme. This is a hands‑on AWS engineering role where you will design, build, and optimise modern data pipelines that power a next‑generation insight platform. You’ll work across ingestion, enrichment, automation, and infrastructure, helping to shape how data is delivered and leveraged across the organisation.

What They’re Looking For:
  • Python engineering with a strong data‑leaning profile
  • CI/CD with Jenkins
  • Snowflake data solutions
  • Exposure to AI/ML workflows or ingesting external/public datasets
  • DBT for data modelling (nice to have)
What You’ll Work With:
  • Python for data processing and transformation
  • AWS services (S3, compute, orchestration, and data tooling)
  • Terraform for infrastructure deployment and environment management
  • ETL/ELT pipelines, orchestration, and automation frameworks
  • Snowflake for warehousing and analytics
  • CI/CD via Jenkins
  • Data integration with internal and 3rd‑party APIs
  • Secure data practices, governance, and compliance standards
Nice to Haves:
  • Industry exposure to financial data, investment intelligence, or similar environments
  • Experience working with data‑rich platforms at scale
  • Familiarity with high‑volume enrichment pipelines
  • Background in LSEG‑style or alternative‑data environments
Why Join / Projects:

You’ll be joining a team entering a major growth and modernisation phase. This is an opportunity to directly influence the engineering approach behind a data‑led platform used globally.

  • Shape how large‑scale data is modelled, transformed, and automated
  • Build modern, scalable pipelines with real ownership
  • Work closely with engineers, analysts, and data scientists in a collaborative product‑led culture
  • Contribute to the evolution of a platform that is actively shifting from legacy processes to a fully automated, insight‑driven ecosystem
  • Work in a high‑impact environment with significant headroom for progression
Employee Benefits
  • 24 days annual leave rising to 29
  • Enhanced parental leave
  • Wellness days
  • Flexible Fridays (opportunity to finish early)
  • Birthday day off
  • Employee assistance programme
  • Charity days
  • Breakfast provided
  • Social events throughout the year
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Position Requirements
10+ Years work experience
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