Data Engineer

Utility Warehouse

1d•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. Your responsibilities will include: 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.

Requirements

Technical Mastery: You have extensive experience leading the design of data systems and models. You are an expert in SQL and Python, with a proven ability to independently implement complex, production-ready projects. You possess a deep understanding of dimensional modelling (Kimball) or Data Vault methodologies, essential for creating scalable enterprise schemas.
Impact & Scope: You have a track record of leading high-impact initiatives that align with company strategy. You can evaluate proposed work against team goals and provide critical feedback to ensure value delivery.
Planning & Delivery: You are capable of driving the end-to-end delivery of large-scale features, providing high-quality architectural diagrams and technical documentation.
Operational Excellence: You have strong experience with modern DevOps practices, including Infrastructure as Code, GitOps, and managing transformation layers at scale.
Business & Domain Knowledge: You can advise senior stakeholders on applying Data Engineering to solve complex business problems and are comfortable facilitating cross-functional design sessions.
Leadership & Culture: You 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.

Responsibilities

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.

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: We offer an optional four-day working week (90% pay for 90% impact).
Work from anywhere: You can 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’.