Senior Data Engineer

SENIOR DATA ENGINEER

£100,000

REMOTE (LONDON)

An opportunity to join a fast-growing, consumer-focused digital platform that is redefining how modern users interact with data-led products. This is a senior, high-impact role within a scaling data function, offering ownership, influence, and the chance to work on systems operating at significant scale.

THE COMPANY

A well-funded, UK-based digital entertainment business operating within a regulated environment. Founded in London and backed by recent investment, the company has grown quickly by focusing on strong product design, performance, and an engineering-first culture.

The business values scalable solutions over quick fixes, with a collaborative and technically ambitious environment. The role sits within a growing data function that plays a critical part in supporting continued customer growth and increasingly real-time analytics use cases.

THE ROLE

As a Senior Data Engineer, you will be responsible for building and scaling core data infrastructure, working closely with senior data and engineering stakeholders. You'll be hands-on across multiple initiatives while helping shape platform direction and technical standards.

Key responsibilities include:

• Designing, building, and maintaining scalable, production-grade data pipelines
• Scaling the data platform to support increasing data volumes and user growth
• Developing and owning robust data models used across the business
• Helping build a full staging and testing environment that closely mirrors production
• Improving reliability, monitoring, and observability across data systems
• Supporting a move towards lower-latency analytics from an engineering perspective

This role offers genuine architectural input and is well suited to engineers who enjoy complex technical challenges in a scale-up setting.

YOUR SKILLS AND EXPERIENCE

Required:

• 5+ years' experience in data engineering or software engineering roles
• Strong Python and SQL capability
• Experience building data platforms in AWS
• Excellent data modelling fundamentals (non-negotiable)
• Experience working in smaller companies or growing environments
• Engineering-first mindset, ideally with a backend or software engineering background

Desirable:

• Experience with Snowflake
• Orchestration tools such as Dagster or Airflow
• dbt for data transformation and modelling
• Apache Iceberg or modern table formats
• Background in high-growth, consumer-facing products

SALARY AND BENEFITS

• Base salary up to £100,000
• Competitive benefits package
• Fully remote working within the UK
• Optional London office access for collaboration
• Opportunity to work on a modern, evolving data stack

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack via the Apply link. All applications will be handled confidentially.