Provide ongoing operational support and build new solutions for our data lakehouse and scale it out to serve internal analytics and AI use cases that boost productivity across the business.
Build the infrastructure and business logic behind our new data commercialisation opportunities, partnering with product and commercial teams to turn data into revenue-generating products.
Design and build the abstractions, blueprints and reusable templates that let service and analytics teams work with data safely and consistently, from ingestion through to storage and access.
Play a key role in modernising our legacy monolithic SQL Server database — extracting data into our lakehouse and other parallel data stores, introducing data retention policies, and helping migrate to modern SQL frameworks and languages.
Write ETL processes and contribute to data modelling for both internal analytics and external-facing data products, where the platform alone isn't enough.
Take ownership of your work from design to deployment, either independently or as part of a collaborative team.
Help shape our engineering practices and explore new ways of working to deliver value to our internal customers in a fast, predictable way.

A data or platform engineer with strong Python skills and a track record of building data infrastructure that other engineers and analysts depend on.
Hands-on experience with AWS and Terraform, and a comfort with infrastructure-as-code as the default way of working.
Experience with a modern lakehouse or warehouse platform (Databricks ideally, or Snowflake/BigQuery), and with data ingestion and transformation tools (Fivetran/DBT).
Familiarity with Kafka or similar streaming systems, and an interest in building the abstractions that make event-driven data flows easy for other teams to adopt.
Solid SQL skills and a good sense for data modelling, even if it isn't the main thing you do day to day.
Awareness of container orchestration (ECS, Kubernetes) and how data workloads run in production.
A platform mindset — you enjoy building tools, templates and paved roads for other engineers as much as you enjoy shipping pipelines yourself.

Hybrid
2 days per week in our London HQ for team collaboration
Opportunities for career development and advancement within a growing organisation.
Everyday Flex
greater flexibility over where and when you work
25 days annual leave + extra days for years of service
Day off for volunteering & Digital detox day
Festive Closure
business closed for period between Christmas and New Year
Cycle to work and electric car schemes
Free Calm App membership
Enhanced Parental leave
Fertility Treatment Financial Support
Group Income Protection and private medical insurance
Gym on-site in London
7.5% pension contribution by the company
Discretionary annual bonus up to 10% of base salary
Talent referral bonus up to £5K

Data Platform Engineer – AWS, Databricks

Key skills