- Spearhead Data workstreams within large programs/projects, leveraging Data Engineering expertise.
- Oversee the implementation of logical and physical data models, aligning with Centrica's enterprise data model.
- Supervise the development, maintenance, and support of a suite of data engineering jobs and pipelines, sourcing data from various business systems and processes, transforming it, and facilitating publication.
- Collaborate with business and project/program stakeholders to comprehend the data landscape, ecosystem, tools, and integration requirements, transforming them into actionable insights.
- Ensure efficient and appropriate technologies are utilized for data curation, collaborating with architecture and platform teams.
- Promote the widespread adoption of curated data across the enterprise, ensuring models and documentation are accessible and shared, while also providing direct support to data consumers, sharing knowledge and best practices.
- Lead, assist, and mentor Data Engineers in analysing data and constructing robust, scalable, and secure data transformation jobs and pipelines.
- Demonstrated leadership in cultivating and guiding technical teams within a data-centric environment.
- Extensive expertise in Data Engineering practices, tools, and methodologies.
- Proficient in constructing and upholding logical and physical data models, with comprehensive knowledge and practical experience in data modelling techniques and tools.
- Well-versed in relational and non-relational database theory.
- Skilled in developing and maintaining code using both traditional and big data technologies for data processing and transformation.
- Hands-on experience with ETL tools and languages facilitating data manipulation, such as SQL, Spark, Python, Hadoop, and Streaming technologies.
- Familiarity with software development processes, tools, and methodologies, encompassing code management, CI/CD tools, processes, and testing strategies.
- Broad understanding of business data management, including business intelligence, data analysis, data science, big data, data migration, data quality, and data governance.
- Demonstrates a systematic, disciplined, and analytical approach to problem-solving, with meticulous attention to detail.
- Proficient in process, project, change, and time management.
- Capable of solving complex problems by drawing on past experiences and implementing best practices.
- Effective communicator with the ability to influence colleagues and collaborate across the wider business.
- Competitive salary and bonus potential.
- Employee Energy Allowance at 15% of the government price cap.
- Pension scheme.
- Company Funded Healthcare Plan.
- 25 days holiday allowance, plus public holidays, and the option to buy up to 5 additional days.
- Excellent range of flexible benefits, including technology vouchers, electric car lease scheme & travel insurance.
Data Engineering Manager - Leicester, United Kingdom - Centrica
Description
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 – As the successful candidate, your role as Data Engineering Manager will involve collaborating closely with other Business Managers, Data Scientists, and Data Engineers, facilitating product launches and roadmaps through the development of data architecture for informed insights.
Key responsibilities include leading a team, overseeing the design, build, and implementation of the Data Curated Layer within Data Platforms, and driving engagement, integration, and implementation across the business.
Location: UK (talk to us about flexible working)
The day to day –
About you –
What's in it for you –