Data Engineering Manager

Data Engineering Manager

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead a dynamic Data Engineering team and manage the entire data lifecycle.
  • Company: Join UW, a forward-thinking company revolutionising utility management.
  • Benefits: Enjoy competitive salary, flexible remote work, and numerous perks.
  • Other info: Embrace a culture of inclusivity and continuous learning.
  • Why this job: Make a real impact by shaping the future of data at UW.
  • Qualifications: Experience in managing data engineering teams and strong technical skills required.

The predicted salary is between 36000 - 60000 £ per year.

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.

Data Engineering Manager employer: Utility Warehouse

Utility Warehouse is an exceptional employer that prioritises employee development and a collaborative work culture. With a hybrid work model based in Greater London, employees enjoy the flexibility of remote work while benefiting from engaging in-person interactions. The company fosters growth opportunities through continuous learning and encourages innovative contributions to enhance Partner experiences.

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Contact Details:

Utility Warehouse Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineering Manager

Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.

Tip Number 2

Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with SQL, cloud warehouses, and data pipelines. We want to see how you can lead a team and tackle complex problems.

Tip Number 3

Show off your leadership style! When you get the chance, share examples of how you've mentored teams and fostered a culture of excellence. We love to see candidates who can inspire others and drive results.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re all about making the process as smooth as possible for you.

We think you need these skills to ace Data Engineering Manager

Team Leadership
Data Engineering
SQL
ETL/ELT Pipelines
Cloud Warehouses (BigQuery, Snowflake)
Data Transformation (Dataform, dbt)
Python Orchestration

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for data engineering shine through! We want to see how excited you are about leading a team and tackling big challenges in the data space.

Tailor Your Experience:Make sure to highlight your relevant experience in managing data engineering teams and working with modern stacks. We love seeing how your background aligns with our mission and the specific role!

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and achievements are easy to spot. This helps us understand how you can contribute to our goals.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!

How to prepare for a job interview at Utility Warehouse

Know Your Data Engineering Stuff

Make sure you brush up on your technical knowledge, especially around SQL workflows, ETL/ELT pipelines, and modern data stacks like BigQuery and Snowflake. Be ready to discuss your experience with these technologies and how you've applied them in past projects.

Showcase Your Leadership Skills

As a Data Engineering Manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've fostered a culture of excellence and collaboration in previous roles. Think about specific challenges you've faced and how you helped your team overcome them.

Understand the Business Impact

UW is all about making a positive impact with data. Be prepared to discuss how your work in data engineering can solve complex business problems. Think about how you've previously aligned data strategies with business goals and be ready to share those insights.

Ask Thoughtful Questions

Interviews are a two-way street! Prepare some insightful questions about UW's data capabilities project and their vision for the future. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations.