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Accelerant

Data Engineer

United Kingdom
Posted about 13 hours ago
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Senior Python / Data Engineer

Remote – UK | Competitive Salary + Bonus | Start ASAP

Accelerant is transforming the specialty insurance industry through technology, data and analytics. Our Risk Exchange connects specialty MGAs with risk capital partners, using technology to create a more efficient insurance ecosystem.

We're looking for a Senior Python / Data Engineer to join our Data Engineering team and help build and evolve the technology and data platforms behind our business.

You'll be working across both software development and data engineering, using Python to build robust data solutions, pipelines and platforms. You'll play an important role in developing the systems that process and manage large volumes of data across Accelerant.

You'll be involved in:

  • Developing production-grade solutions using Python
  • Building and maintaining data pipelines
  • Designing and developing scalable data platforms and data lakes
  • Processing and transforming large datasets
  • Applying strong software engineering principles to data engineering
  • Improving the reliability, scalability and performance of data systems
  • Working with cloud technologies and modern data tools
  • Contributing to technical architecture and engineering decisions
  • Working closely with Data Engineers, Software Engineers and other technical teams
  • Exploring and contributing to AI and LLM-driven solutions

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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We're looking for a Senior Engineer with a strong Python development background who has progressed into Data Engineering.

You'll ideally have:

  • Strong commercial experience with Python
  • Solid experience in Data Engineering
  • Experience building data pipelines and data processing solutions
  • Experience working with data lakes or modern data platforms
  • Strong software engineering fundamentals
  • Experience working with cloud technologies
  • Experience working with large or complex datasets
  • An interest in AI, LLMs and modern engineering practices

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The ideal candidate will be comfortable moving between Python development and Data Engineering, rather than being focused exclusively on one area.

Why Accelerant?

  • Fully remote – UK
  • Competitive salary + bonus
  • Senior-level technical ownership
  • Work with modern AI, LLM and data technologies
  • Opportunity to work with large-scale proprietary data
  • Collaborative, high-performing engineering team
  • Opportunity to help transform the specialty insurance industry
  • Immediate start available

If you're a Senior Python Engineer who has moved into Data Engineering and you're looking for a role where you can work across both disciplines, we'd love to hear from you.

Apply today to join Accelerant's Data Engineering team.

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Skills

Python
Data Engineering
Data Pipelines
Data Lakes
Cloud Technologies
Software Engineering
AI
LLM
Technical Architecture
Data Processing
Scalable Platforms
Data Transformation

Location

United Kingdom

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