Data Engineer
Remote UK
Salary: £45,000 - £55,000
This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal tooling and pipelines.
The Company
They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science function. With significant recent investment and continued growth, they are now expanding their ETL and automation capabilities to strengthen internal workflows and infrastructure.
The Role
You will focus on building, maintaining, and optimising internal ETL pipelines and workflow automations that support data scientists and enable reliable, scalable reporting.
Key responsibilities include:
• Designing and maintaining custom ETL pipelines in a cloud-native environment.
• Automating internal processes and integrations across tools and APIs.
• Supporting workflow orchestration using technologies such as Airflow or AWS Step Functions.
• Containerising and deploying services using Docker.
• Collaborating with data scientists to streamline their data workflows.
• Contributing to improvements across orchestration, tooling, and internal engineering processes.
Your Skills and Experience
• Strong commercial experience with Python and common data libraries.
• Proven ability to build and maintain ETL pipelines.
• Hands-on experience with AWS services.
• Experience with Docker and containerised workflows.
• Familiarity with workflow orchestration tools.
• Comfortable integrating with APIs and external tooling.
• A practical, delivery-focused approach with the ability to own tasks end to end.
How to Apply
If this sounds like your next step, please send your CV to register your interest.