[Hiring] Data Engineer @Utility Warehouse

Role Description

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.

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

Qualifications

• Technical Mastery: Extensive experience leading the design of data systems and models.
• Expertise: Proficient in SQL and Python, with a proven ability to independently implement complex, production-ready projects.
• Dimensional Modelling: Deep understanding of dimensional modelling (Kimball) or Data Vault methodologies, essential for creating scalable enterprise schemas.
• Impact & Scope: Track record of leading high-impact initiatives that align with company strategy.
• Planning & Delivery: Capable of driving the end-to-end delivery of large-scale features, providing high-quality architectural diagrams and technical documentation.
• Operational Excellence: Strong experience with modern DevOps practices, including Infrastructure as Code, GitOps, and managing transformation layers at scale.
• Business & Domain Knowledge: Ability to advise senior stakeholders on applying Data Engineering to solve complex business problems.
• Leadership & Culture: Role-model UW values by promoting a data-driven culture and mentoring peers.

Requirements

• 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.

Benefits

• Competitive salary: We benchmark against the industry and will share the salary openly during our first conversation.
• Performance bonus: An annual discretionary bonus ranging from 15-40%.
• Flexible working: We’re a remote-first business.
• Work-life balance: Optional four-day working week (90% pay for 90% impact).
• Work from anywhere: Work abroad for up to three weeks, twice every tax year.
• Holiday: 25 days plus bank holidays (increasing with tenure), with the option to trade up to five days each year.
• UW discounts: Save on our services and get a free Cashback Card.
• Future planning: Matched-contribution pension scheme and life assurance (up to 4x salary).
• Family first: Policies designed to help you and your family thrive.
• Flexible benefits: An allowance for private health insurance, dental insurance, or gym membership.
• Sabbaticals: An eight-week paid sabbatical after four years of service.
• Growth: A dedicated learning and development budget and bi-annual promotion cycles.
• Inclusion: Join belonging groups that help shape our culture.
• Events: Company-wide celebrations including the ‘Great Big Get Together’ and our ‘Good Hearted Go-Getter Awards’.