Were so much more than an energy company. Were a family of brands revolutionising how we power the planet. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesnt rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Youll be joining Centricas Group Data function, working in close partnership with our Data Science and Data Governance teams. Together, were building a data ecosystem that powers strategic decision-making and enables the creation of reusable, high-quality data assets across the business.
As Head of Data Engineering , youll lead the design, development, and optimisation of Centricas data infrastructure. Youll define and execute a forward-thinking data engineering strategy, ensuring our pipelines and platforms are scalable, secure, and aligned with business goals. Youll mentor a high-performing team, collaborate across departments, and champion best practices in data management, governance, and technology adoption.
Youll also work closely with the Head of Data Science to ensure our infrastructure supports advanced analytics and modelling, enabling the organisation to harness data-driven insights effectively. Regular travel to our Windsor and London offices will be required.
Leading, mentoring, and developing a skilled data engineering team
Defining and executing the data engineering strategy in alignment with organisational goals
Collaborating with cross-functional teams and stakeholders to understand data requirements
Architecting and maintaining robust data pipelines, ETL processes, and data warehouses
Evaluating and selecting appropriate data storage, processing, and integration technologies
Establishing best practices for scalability, performance, and cost-effectiveness
Developing and enforcing data governance and management policies
Partnering with data science and analytics teams to deliver clean, high-quality data
Monitoring infrastructure performance, troubleshooting issues, and implementing optimisations
Advanced academic background in Computer Science, Data Engineering, or a related field
Experience building large-scale analytics platforms from the ground up
Knowledge of real-time data processing, streaming technologies, and data modelling
Understanding of data governance frameworks and compliance standards
Extensive experience in data engineering, including leadership in complex, enterprise-scale environments
Proven ability to deploy data products through development stages into production, with monitoring and observability tools
Deep technical expertise in PySpark, SQL, Java, Spark, Databricks, dbt, AWS, and Azure
Experience with orchestration and CI/CD tools such as Airflow, Databricks Workflows, and Azure DevOps
Strong problem-solving skills and the ability to optimise data processes
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.
#
