Data Engineering Analyst
AI Summary
Designs and develops scalable data pipelines and transformation processes within Centrica's data platform, supporting assets like the Single Customer View and Property View, and collaborates with cross-functional teams to deliver governed, accessible data products.
About this role
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.
Join a team at the heart of Centrica's data transformation journey, building the data products and platforms that power insight, customer experiences and business decision-making across the organisation. As a Data Engineer, you will design and develop scalable data solutions that underpin strategic assets such as Centrica's Single Customer View and Property View, enabling trusted, governed and accessible data for analytics, operational processes, customer engagement, AI and digital use cases across the business.
Key Accountabilities
Design, develop and maintaindata pipelines and transformation processes within Centrica's data platform to ensure data is delivered accurately, efficiently and in line with enterprise standards
Build and supportdata engineering solutions that ingest, transform and publish data from source systems into data lakes, data warehouses and curated data products for business consumption
Implement and contribute toCI/CD, automation, monitoring and operational support processes to ensure data solutions are reliable, scalable and secure
Collaborate with platform, architecture and engineering teamsto adopt data engineering best practices, improve platform capabilities and maintain alignment with enterprise technology standards
Investigate and resolvedata quality, performance and operational issues through root cause analysis to improve stability and operational efficiency
Work with business stakeholders, productownersand datascientiststo understand requirements and deliver data solutions that meet business objectives and user needs
Ensure compliance with data governance, security and regulatory requirementsby following established processes, standards and controls throughout the data lifecycle
Maintain clear technical documentation and knowledge sharingto support operational effectiveness, solution maintainability and team collaboration
Key Competencies
The role requires strong analytical and problem-solving skills to design, develop and support data engineering solutions within established architectural standards and governance frameworks. The job holder will regularly evaluate technical options, diagnose data quality and performance issues, and determine appropriate solutions for data integration and transformation challenges.
Experience and Skills:
Experience in Data Engineering or a similar data-focused role
Strong SQL and Python development skills
Experience building and supporting scalable data pipelines and transformation processes
Hands-on experience with Apache Spark, Databricks, dbt and cloud-based data platforms
Good understanding of data modelling principles, data lakes and data warehouse architectures
Experience working with CI/CD pipelines, source control and deployment automation
Experience troubleshooting data quality, operational and performance issues
Knowledge of data governance, data quality and information security principles
Strong communication and stakeholder management skills
Ability to work collaboratively within cross-functional technology teams delivering data products and services
Essential: Degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics or a related discipline; or equivalent practical experience
Desirable: Relevant certifications in Spark, cloud technologies, data engineering or software engineering practices
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/centrica
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.
Skills
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