Data Engineering Manager at Utility Warehouse

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

07 Jul, 26

Salary

0.0

Posted On

08 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Team Leadership, SQL, BigQuery, Snowflake, Dataform, dbt, Python, Docker, Kubernetes, Terraform, ETL/ELT, Data Modeling, DevOps, Stakeholder Management, Cloud Warehousing

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. The challenge For our customers and Partners, UW just needs to work – there when you need it, and invisible when you don’t. Just like flicking a switch. Our proposition to customers is simple, but for our technology teams, the behind-the-scenes complexity is what makes it so interesting. Learn more about life in our Tech teams here. Got your attention? Read on.. Job Description We are seeking a Data Engineering Manager to lead our Data Engineering team. We work together. Your team and the people you will work with… Managing a team of Data Engineers, you will own the end-to-end data lifecycle—from high-volume ingestion to analytics transformation. You will set the technical vision, mentor the team, and build a scalable backbone for UW’s digital future. We deliver progress. What you’ll do and how you will make an impact... A major initiative for the team this year is the Data Capabilities project. You will lead the migration of our customer domain data into a dimensionally modelled Enterprise Data Warehouse, executing on the system design led by the Data Architect and the Data Governance manager. Your responsibilities will include: Team Leadership: Manage and mentor a high-performing team, fostering a culture of technical excellence, psychological safety, and continuous delivery. Platform Strategy: Define the Data Engineering team vision, balancing immediate business needs with a long-term shift towards a self-service data mesh architecture. Infrastructure Ownership: Oversee the development of core data pipelines and platform tools, ensuring high performance for ingestion services. Pipeline & Warehousing: Ensure the implementation of robust ETL/ELT pipelines and scalable models (Kimball/Data Vault), maintaining overall warehouse health. Reliability & DevOps: Champion DevOps best practices, utilising Docker, Kubernetes, and CI/CD to ensure platform resilience. Collaboration: Partner with Data Architects and Governance teams to embed security, compliance, and robust system design into the platform. Qualifications We put people first. It’s all about you... People & Coaching: Proven experience managing high-performing data engineering teams, including performance management, mentoring, and hiring. Technical Mastery: Strong background in Data Engineering with the ability to manage SQL-heavy workflows and complex data pipelines. Strong knowledge of modern stacks, including Cloud Warehouses (BigQuery, Snowflake), Transformation (Dataform, dbt), and Python orchestration. Impact & Scope: You have a track record of leading a high performing team that deliver high-quality work. Ability to effectively manage stakeholders across teams Planning & Delivery: Ability to design distributed systems capable of handling massive datasets and high-frequency streams. Operational Excellence: Production experience with containerisation (Kubernetes, Docker) and Infra-as-Code(Terraform). 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: Foster a positive, inclusive, and collaborative team environment Promote a culture of data-informed/ data-driven decision-making and technical excellence Skills / Competencies: Project Management Communication: Decision Making Stakeholder Management 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 Why join UW? We have big ambitions, which means plenty of challenges to tackle and solutions for you to build. We’re looking for people who want to roll up their sleeves and get involved. Our 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’. Apply now You’ve made it this far... hit apply! We can’t wait to hear from you. Worried you don’t hit every single bit of the criteria? We welcome applications from all backgrounds. If you’re a go-getter with a great heart, get your application in and let’s chat. Beth Rodgers will be your point of contact throughout the process. 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 lead the Data Engineering team to manage the end-to-end data lifecycle, including ingestion and analytics transformation. Additionally, you will oversee the migration of customer data into an Enterprise Data Warehouse while fostering a culture of technical excellence.