Data Engineer at Utility Warehouse

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, ETL/ELT, Data warehousing, Dataform, dbt, Docker, Kubernetes, Dimensional modelling, Data Vault, DevOps, Infrastructure as Code, GitOps, Data architecture, Cloud infrastructure, System design

Industry

Utilities

Description

Company Description Hi! We're UW. We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings! We’re aiming to double in size as we help more people to stop wasting time and money. Big ambitions, to be delivered by people like you. Got your attention? Read on.. Job 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. 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. Qualifications We put people first. It’s all about you.. 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. Skills / Competencies 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. Possible Next Career Steps Senior Data Engineer Staff Data Engineer Don’t worry if you don’t have the whole list. If you feel you have most of it and can learn the rest pretty quickly then please don’t hesitate to apply. Overall we are looking for imaginative and pragmatic problem-solvers who want to help make a positive impact with data at UW. Additional Information So why pick UW? We’ve got big ambitions so there’s going to be plenty of challenges. There are also a lot of 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’. Not sure you meet all the requirements? Let us decide! Research shows that women and members of other underrepresented groups tend not to apply for jobs if they think they may not meet every qualification, when in fact they often do. We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation. Please don’t be afraid to ask about what we can do to support your needs. All requests will be carefully and fairly considered. Please note, if you are successful and offered a role at UW, you will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment. Employment Status: Full-Time

Responsibilities

You will architect enterprise-grade data infrastructure and manage the end-to-end data lifecycle, including building robust ETL/ELT pipelines. Additionally, you will partner with product and engineering teams to optimize data utilization and mentor team members on technical standards.