Data Engineer

Utility Warehouse

5d • Remote

About The Position

We are looking for a "full-stack" Data Engineer to build the backbone of our data infrastructure and own the end-to-end data lifecycle. You will architect enterprise-grade systems and build products that drive digitalisation, while tackling high-volume challenges such as processing half-hourly meter reads for our energy customers.

Requirements

• Extensive experience leading the design of data systems and models.
• Expert in SQL and Python, with a proven ability to independently implement complex, production-ready projects.
• Deep understanding of dimensional modelling (Kimball) or Data Vault methodologies, essential for creating scalable enterprise schemas.
• Track record of leading high-impact initiatives that align with company strategy.
• Capable of evaluating proposed work against team goals and providing critical feedback to ensure value delivery.
• Capable of driving the end-to-end delivery of large-scale features, providing high-quality architectural diagrams and technical documentation.
• Strong experience with modern DevOps practices, including Infrastructure as Code, GitOps, and managing transformation layers at scale.
• Ability to advise senior stakeholders on applying Data Engineering to solve complex business problems and comfortable facilitating cross-functional design sessions.
• Role-model UW values by promoting a data-driven culture, mentoring peers, and communicating technical successes and failures clearly to the wider Technology & Product department.
• Strategic Problem Solving: Ability to break down vague, high-level business requirements into concrete, scalable technical architectures.
• Clear Communication: Excellent verbal and written skills, with the ability to influence technical and non-technical audiences.
• Accountability: Willingness to take ownership of critical systems and participate in on-call rotations.
• Continuous Learning: Proactively seeking out the latest industry trends and introducing relevant innovations to the team.

Nice To Haves

• Dataform (preferred for data transformation)

Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines to ingest large-scale datasets and high-frequency streams.
• Lead the design and evolution of our enterprise data warehouse, ensuring it is scalable and performant.
• Manage our data transformation layer using Dataform (preferred) or dbt to orchestrate complex, reliable workflows.
• Implement automated testing frameworks and deploy scalable services using Docker and Kubernetes to ensure operational health.
• Act as a strategic partner to Product and Engineering, facilitating data design sessions to optimise how data is ingested and utilised.
• Raise the bar for technical excellence within the squad through code reviews, design sessions, and documenting best practices.

Benefits

• Competitive salary
• Performance bonus
• Flexible working
• Optional four-day working week
• Work from anywhere (up to three weeks, twice every tax year)
• 25 days holiday plus bank holidays (increasing with tenure)
• Option to trade up to five days holiday each year
• UW discounts
• Access to 100s of rewards and discounts through Perkbox
• Matched-contribution pension scheme
• Life assurance (up to 4x salary)
• Flexible benefits allowance for private health insurance, dental insurance, or gym membership.
• Eight-week paid sabbatical after four years of service.
• Dedicated learning and development budget
• Bi-annual promotion cycles.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed