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.