Data Platform Engineer

Oliver Bernard; Greater London; Hybrid; GBP 65,000 - 95,000; Full time

Job summary

Oliver Bernard is seeking an engineering-focused Data Engineer for a 6-month contract with potential extension, based in London or Paris with hybrid work 2-3 days in the office. You will build data pipelines and platforms to support model training, reinforcement learning and evaluation, collaborating with software engineers and AI researchers.

The role emphasizes owning problems from design to production, applying strong Python skills and experience with production data platforms, and solving

Qualifications

• Strong Python fundamentals and solid software engineering practices.
• Experience building and operating production data platforms and pipelines.
• Ability to work through ambiguous problems in a fast-moving environment.
• Software engineering background with move into data infrastructure preferred.

Responsibilities

• Building reliable data pipelines and platforms to support model training, reinforcement learning and evaluation.
• Designing systems that make complex datasets accessible and usable across research and engineering.
• Owning engineering problems from initial design through to production.

Skills

Python

Data infrastructure

Data platforms

Ambiguity handling

Research collaboration

Job description

Initial 6-month contract, with potential to extend

London or Paris | Hybrid, 2-3 days in the office

We're working with a frontier AI lab building the systems used to train, evaluate and improve the next generation of AI agents.

They're looking for engineering-focused Data Engineers to build the infrastructure that supports research and experimentation, working closely with software engineers and AI researchers.

What you'll be doing:

• Building reliable data pipelines and platforms to support model training, reinforcement learning and evaluation
• Designing systems that make complex datasets accessible and usable across research and engineering
• Owning engineering problems from initial design through to production

What they're looking for:

• Strong Python fundamentals and solid software engineering practices
• Experience building and operating production data platforms and pipelines
• Confidence working through ambiguous problems in a fast-moving environment
• Ideally, a software engineering background with a move into data infrastructure

An opportunity to tackle challenging infrastructure problems at the forefront of AI, with real ownership over what you build.