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Data Engineer Python ETL SaaS

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Summary

Data engineer designing and building ETL pipelines, data warehousing, and real-time processing to power rapid insurance quotes and UK expansion. You'll bridge data scientists, analysts, and software engineers on a modern, mostly AWS-based stack, with work-from-anywhere flexibility.

Overview

In this Data Engineer role, you will design and build data pipelines and data warehousing to support rapid insurance quotes and UK expansion. You will bridge Data Scientists, Analysts, and Software Engineers to turn requirements into scalable data solutions on a modern tech stack. The role offers work-from-anywhere flexibility and opportunities across teams to play to your strengths. You will work on greenfield systems and real-time data processing that directly impact business growth. You’ll join a collaborative, DEI-focused environment with ample learning and influence over tooling and architecture.

Pay / Benefits
  • remote working
  • flexible working hours
  • nursery scheme
  • enhanced maternity package
  • 25 days holiday + buy/sell 5 days
  • pension, private medical and dental insurance, life assurance
Responsibilities
  • design and build ETL data pipelines
  • develop data warehousing solutions to support growth
  • work with data scientists/analysts and software engineers to shape requirements
  • handle real-time data processing and UK market needs
  • contribute to modern tech stack and architectural decisions
  • collaborate across multiple teams and adapt to skill needs
Key requirements
  • strong Data Engineering experience
  • strong Python coding skills
  • experience building ETL data pipelines
  • experience with AWS (or Azure, GCP)
  • experience in tech or SaaS companies
  • degree educated in Computer Science or similar technical discipline
  • collaborative with good communication skills
  • collaboration
  • communication
  • team-oriented
  • Python
  • ETL pipelines
  • AWS

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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