Data Engineering Manager at Utility Warehouse

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

29 May, 26

Salary

0.0

Posted On

28 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Team Leadership, Mentoring, Technical Vision, Data Ingestion, Analytics Transformation, ETL/ELT Pipelines, Kimball Modeling, Data Vault Modeling, DevOps, Docker, Kubernetes, CI/CD, SQL, Cloud Warehouses, dbt, Python Orchestration

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 seeking a Data Engineering Manager to lead our Data Engineering team. 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. 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 Possible Next Career Steps Senior Data Engineering Manager 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 We’ve got big ambitions so there’s going to be plenty of challenges. There are also a lot of benefits: An industry benchmarked salary. We’ll share it during your first conversation. Share Options and a Save as You Earn scheme. Flexible remote working with the option to visit our London hubs for team meetings and company events. You'll have access to a range of hot desking spaces around the UK Electric Car salary sacrifice scheme through Tusker Discount on our services and you get our coveted Cashback Card for free. You’ll also get access to 100s of rewards and discounts through Perkbox A matched contribution pension scheme and life assurance up to 4x your salary. You can also access free mortgage advice and a financial wellbeing tool. Family-friendly policies, designed to help you and your family thrive. Discounted private health insurance, access to an Employee Assistance line and a free Virtual GP. Our wellbeing app Unmind supports your mental health. Belonging groups that help UW shape an even more inclusive future. A commitment to helping you develop your career journey through learning, coaching and new experiences 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

The manager will lead the Data Engineering team, owning the end-to-end data lifecycle from high-volume ingestion to analytics transformation, while setting technical vision and mentoring staff. A key focus is leading the migration of customer domain data into a dimensionally modelled Enterprise Data Warehouse.