We are Centrica! We’re so much more than an energy company. We’re a family of brands revolutionising a cleaner, greener future. Working here is #MoreThanACareer - we’re powered by purpose. Together we can make an impact that will truly change tomorrow. Whether you’re developing cutting-edge green tech, helping customers on the front line or simplifying operations behind the scenes.
Your work here isn’t just a job – it’s a mission. We all play a vital role in energising a greener, fairer future .
An opportunity to play your part – Your role as a Senior Data Engineer will involve complete collaboration with our platform and architecture teams to develop, implement, and sustain an operational framework that facilitates the generation of extensive data transformation tasks and pipelines in a big data environment. Other responsibilities include conceptualising, constructing, documenting, deploying, and overseeing data structures, transformation pipelines, and related assignments, whilst contributing towards managing the Technology risk posture across the entire Centrica group.
Location: UK (talk to us about flexible working)
The day to day –
1. Develop, own, and enhance the framework and toolset utilised for executing, managing, and documenting data transformation operations within our expansive big data environment.
2. Establish and maintain automation frameworks to facilitate continuous integration, deployment, and monitoring of data transformation processes.
3. Lead the adoption of development tools, methodologies, and industry best practices within the team.
4. Collaborate with platform and architecture teams to define optimal practices and streamline the operation of data transformation tasks within our big data ecosystem.
5. Create, manage, and optimize data engineering pipelines responsible for extracting, transforming, and delivering data in accordance with established logical and physical data models.
6. Ensure the reliability and efficiency of data transformation operations through rigorous testing and ongoing support for production processes.
7. Provide mentorship and guidance to Data Engineers in developing robust and secure data transformation solutions.
8. Assist data consumers across the organisation by delivering accurate documentation and comprehensive understanding of curated data sources.
About you –
9. Essential expertise in data manipulation, transformation, and analysis.
10. Profound knowledge and hands-on experience in Data Engineering practices, tools, and methodologies.
11. Demonstrated proficiency in developing and maintaining code using both traditional and big data technologies for data processing and transformation.
12. Practical familiarity with ETL tools and languages facilitating data manipulation (e.g., SQL, Spark, Python, Hadoop, and Streaming technologies).
13. Working understanding and experience in implementing software development processes, tools, and methods, encompassing code management, CI/CD tools and practices, and testing strategies.
14. Comprehensive comprehension of broader business data management aspects, including business intelligence, data analysis, data science, big data, data migration, data quality, and data governance.
15. Exhibits a systematic, disciplined, and analytical approach to problem-solving, with keen attention to detail.
16. Ideally 5 or more years of experience in a relevant data-centric role.
What’s in it for you –
17. Competitive salary and bonus potential.
18. Employee Energy Allowance at 15% of the government price cap.
19. Pension scheme.
20. Company Funded Healthcare Plan.
21. 25 days holiday allowance, plus public holidays, and the option to buy up to 5 additional days.
22. Excellent range of flexible benefits, including technology vouchers, electric car lease scheme & travel insurance.