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Data Engineer

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Onsite

Data Engineer

Principle

Data Engineer

Skills

SQL QueriesData EngineeringPythonApache Airflow

22 days ago

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Important information


Contract type:

Freelance / Contract

Salary:

£104,000 / year

Location:

London, UK

Work mode:

Onsite

Published on:

29 September 2026

What they need


  • Contract: 4 months (PAYE)
  • Salary: £104,000 p.a. + bonus + paid annual leave & bank holidays
  • Location: London - hybrid, 3 days onsite per week

We're hiring an experienced Data Engineer to join the data engineering team of a leading global technology company, supporting high-visibility products used at significant scale.

This is a hands-on engineering role focused on building, maintaining and improving production data pipelines and large-scale datasets. You'll join an established engineering team and work on clearly defined deliverables alongside experienced Data Engineers.

What you'll be doing

  • Build, test and maintain production batch ETL/data pipelines
  • Write and optimise SQL across large-scale datasets
  • Use Python for data transformation and pipeline orchestration
  • Maintain and improve existing pipelines, including backfills and schema changes
  • Troubleshoot data-quality and pipeline issues
  • Implement data-quality checks, testing and documentation
  • Work with distributed data technologies such as Presto, Spark or Hive
  • Use workflow orchestration tools such as Airflow
  • Participate in code reviews and Git-based development workflows
  • Collaborate with Data Engineers, Analysts and Engineering teams

The core work is production data engineering: ETL pipelines, large-scale SQL, pipeline changes, data-quality troubleshooting and code review.

What we're looking for

  • 5+ years' experience building production data pipelines
  • Advanced SQL , including performance optimisation on large tables
  • Strong Python for data engineering
  • Experience with Presto, Spark, Hive or similar
  • Experience with Airflow or another workflow scheduler
  • Strong ETL/data pipeline development experience
  • Git and code-review experience
  • Strong understanding of data quality and accuracy

Experience with analytical data modelling, BI/dashboard or pipeline observability would be beneficial.

This is an opportunity to work on high-visibility, business-critical products with significant real-world impact , alongside a highly experienced engineering team.

Please apply directly to be considered. Shortlisting soon.

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