Data Engineer - Up to £220k

Oliver Bernard; Greater London; Hybrid; GBP 198,000 - 242,000; Full time

Job summary

Oliver Bernard is recruiting for a Senior/Staff/Principal Data Engineer in London. The role focuses on owning data systems within a software-first platform engineering context, building scalable ingestion and processing pipelines, and ensuring data quality and security.

The candidate will work across architecture and production operations, collaborating with platform and software engineers to shape core infrastructure in a hybrid London setup.

Qualifications

• Strong software engineering fundamentals and hands-on coding.
• Experience owning substantial production data systems end to end.
• Background with large, messy datasets.
• Knowledge of distributed systems, batch or streaming architectures.
• Ability to explain trade-offs and architectural decisions.
• Comfortable taking ambiguous problems forward without detailed specs.

Responsibilities

• Build scalable systems for acquiring, ingesting and processing complex datasets.
• Own data systems from problem definition through production.
• Improve data quality, provenance, security and sanitisation.
• Make architectural decisions across storage, processing, reliability and cost.
• Collaborate with Platform and Software Engineers on core product infrastructure.

Skills

Software engineering

Production data systems

Large datasets

Distributed systems

Architecture decisions

Ambiguity management

Job description

Senior / Staff / Principal Data Engineer | Up to £220k | London, Hybrid

A well-funded AI company is building interactive digital environments used to train and evaluate increasingly capable AI agents.

Their platform processes large, complex and often unstructured datasets, turning them into secure, reliable training data. They are now hiring a senior Data Engineer to own this area within the wider Platform Engineering team.

The role

This is a software-first Data Engineering position with broad ownership across architecture, implementation and production operation.

Responsibilities

• Build scalable systems for acquiring, ingesting and processing complex datasets
• Own data systems from initial problem definition through to production
• Improve data quality, provenance, security and sanitisation
• Make architectural decisions across storage, processing, reliability and cost
• Work closely with Platform and Software Engineers on core product infrastructure

Requirements

• Strong software engineering fundamentals and recent hands-on coding experience
• Experience owning substantial production data systems end to end
• Background working with large, messy or technically difficult datasets
• Strong knowledge of distributed systems, batch or streaming architectures
• Ability to explain technical trade-offs, failure modes and architectural decisions
• Comfortable taking ambiguous problems forward without detailed specifications

Tech

Stack-agnostic. Relevant experience could include distributed data systems, large-scale ingestion, batch or streaming processing, unstructured data and data-platform infrastructure.

Location and requirements

London, hybrid with 2 to 3 days per week onsite. Applicants must already have the right to work in the UK as sponsorship is unavailable.

Package

Up to £220,000, depending on level and experience.