Data Quality Manager

Centrica Plc
Leeds
4 days ago
Create job alert

Join us, be part of more.


We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it.


About your team

At British Gas, our mission is to sell it and mend it. We’ve been powering the UK’s homes and businesses for over 200 years – but supplying energy is just part of what we do. We’re making the UK greener and more energy efficient, getting closer to Net Zero. By using clever tech like thermostats, heat pumps, solar panels and EV chargers, we’re making it cheaper and easier for our customers to reduce their carbon-footprint.


Data Quality Manager

Flexible / Hybrid working


Full-Time – Permanent


The Team

We're excited to announce that we are continuing our investment in Data & Analytics by creating a new Data Strategy and Governance Team. This team will be pivotal in managing our data as a strategic asset across the organisation, supporting our growth ambitions, and driving innovation in Data & AI products. Our bold ambition is to set industry standards for excellence in data governance and quality, and to play a crucial role in achieving Centrica's strategic goals for 2030.


We work in a hybrid, Flexible First way, typically you will work from home and visit a Centrica office as and when required for team catch ups and meetings. Whether you need to adjust your hours to fit your lifestyle or have specific needs that require a tailored schedule, we’re here to accommodate. Let’s work together to find a solution that works for you and benefits the team.


The Job

We are looking for a visionary Data Quality Manager to spearhead the development of data quality initiatives at Centrica Business. In this exciting role, you will ensure the accuracy, consistency, and reliability of data across the business, driving data quality processes and improvements.


As the Data Quality Manager, you will manage a talented team of Data Quality Analysts, delivering the capabilities needed to support our data-driven goals. You will collaborate with distributed Data Owners and Data Stewards, guiding them in managing data quality initiatives and ensuring best practices are followed.


Your mission will be to prioritise and create critical data quality improvements and targets, accelerating the development of cutting-edge Data and AI products.


Key Aspects of this Role

  • Data Quality Strategy & Risk Management: Develop and implement robust data quality strategies and frameworks to ensure high data standards, complying with Centrica Data Policies and GDPR regulations. Identify and mitigate data quality-related risks, supporting BGB’s risk management framework and avoiding GDPR-related fines (up to 4% of BGB’s annual turnover).
  • Leadership & Team Management: Lead, mentor, and manage a team of Data Quality Analysts, providing guidance and support to ensure effective data quality practices.
  • Data Quality Monitoring & Cleansing: Oversee the monitoring and reporting of data quality metrics to ensure data accuracy and consistency. Implement effective data cleansing and validation processes to address data quality issues.
  • Quality Assurance & Technology Adoption: Develop and enforce data quality assurance processes and standards across the organization. Utilise available technology to support the monitoring and implementation of data quality practices.
  • Issue Resolution & Collaboration: Investigate and resolve complex data quality issues and discrepancies. Collaborate with Data Owners, Data Engineers, Data Analysts, and Data Scientists to embed data quality practices and address data quality issues.
  • Documentation & Transparency: Maintain comprehensive documentation of data quality processes, standards, and findings. Promote transparency of data quality issues to all stakeholders.

Here’s what we’re looking for

  • Proven experience in data quality, governance, or data management.
  • Deep understanding of data quality management principles and best practices, ensuring high standards and compliance.
  • Hands‑on expertise in SQL, data profiling, cleansing tools, and visualisation (e.g., Power BI).
  • Strong understanding of data governance, data management, and data quality practices, ensuring data integrity and reliability.
  • Knowledge of regulatory compliance and data stewardship, ensuring adherence to relevant laws and regulations.
  • Expertise in data quality management, data profiling, data mapping, and data cleansing, ensuring accurate and consistent data across the organisation.

Why should you apply?

We’re not a perfect place – but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you. https://www.morethanacareer.energy/britishgas


If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non‑negotiable, and your ambitions are our priority.


Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Quality Manager

Data Quality Manager

Data Quality Manager...

Data Quality Manager

Data Quality Manager

Data Quality Manager

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.