Data Engineer

Harnham
Liverpool, United Kingdom
5 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Langham Recruitment Huddersfield, West Yorkshire, HD1 2AA, United Kingdom
£45,000 – £50,000 pa

Data Engineer

Copello Westbury, Wiltshire, United Kingdom
£50,000 – £65,000 pa

Data Engineer

CBSbutler Holdings Limited trading as CBSbutler Skipton, North Yorkshire, United Kingdom
£450 – £465 pd Hybrid

Data Engineer

TXP Telford, Shropshire, SY2 5TN, United Kingdom
£540 – £541 pd Hybrid Clearance Required

Data Engineer

Siamo Recruitment a division of Siamo Group Cirencester, Gloucestershire, United Kingdom
£34,500 – £36,500 pa
Posted
27 Mar 2026 (5 months ago)

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.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.