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Deployed Engineer - London - Pyspark - Palantir - 75k

Tenth Revolution Group
Posted 5 days ago, valid for 18 days
Location

London, Greater London SW1A2DX, England

Salary

£50,000 - £75,000 per year

Contract type

Full Time

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Sonic Summary

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  • A rapidly growing B2B SaaS company is seeking a Forward Deployed Data Engineer in London with hybrid working arrangements.
  • The role involves deploying and customizing a data platform for global clients, building data pipelines, and creating scalable AI workflows.
  • Candidates should have 2-4 years of experience in data engineering or analytics and be proficient in PySpark, Python, and SQL.
  • The salary for this position ranges from £50,000 to £75,000, plus share options.
  • The company offers a collaborative culture with regular events and the opportunity to work with industry leaders in AI-driven solutions.

A rapidly growing B2B SaaS company is looking for a Forward Deployed Data Engineer to join their expanding team in London (hybrid working - 2-3 days a week in their vibrant Soho office).

logy and delivery - adapting and deploying the platform for new clients, building custom data pipelines, and creating scalable AI workflows that bring real business impact.



What you'll do:

  • Deploy and customise a powerful data platform for global clients

  • Build and optimise pipelines using PySpark, Python, and SQL

  • Design scalable AI workflows with tools like Palantir

  • Collaborate with client teams to deliver data-driven outcomes



What we're looking for:

  • 2-4 years' experience in data engineering or analytics

  • Hands-on with PySpark, Python, and SQL

  • A proactive problem-solver who thrives in a fast-moving startup

  • Excellent communication and stakeholder skills



Why join:

  • 50,000-75,000 + share options

  • Hybrid working (2-3 days/week in Soho)

  • Highly social, collaborative culture with regular events

  • Work alongside top industry leaders shaping the future of AI-driven enterprise solutions

Interviews taking place immediately

Apply now in a few quick clicks

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