At a Glance
- Tasks: Lead data and digital transformation to create a cleaner energy future.
- Company: Join ENGIE, a global leader in energy transition and innovation.
- Benefits: Competitive salary, hybrid work, and access to learning programmes.
- Other info: Collaborative environment with clear career development paths.
- Why this job: Make a real impact on decarbonisation while working with cutting-edge AI.
- Qualifications: Experience in data leadership and energy management required.
The predicted salary is between 60000 - 75000 £ per year.
At ENGIE, we speed up the energy transition by turning data into smart decisions. Your work here directly helps build a cleaner energy future. If you want your skills to create real impact, this role is for you.
Within our Supply & Energy Management business, we manage one of Europe's most diverse energy portfolios across more than 20 platforms. We are looking for a Local Data & Digital Officer to lead our data and digital transformation at BP UK in London.
Your main responsibilities include:
- Build and maintain a clear Data & Digital transformation roadmap aligned with BP UK priorities and central guidelines.
- Work with business teams to discover and qualify new use cases, challenging assumptions and refining needs.
- Apply the Central Data Adoption framework locally, turning global standards into practical daily routines.
- Set up and enforce data governance roles and quality standards, including Data Owners, Data Stewards, and Data Custodians.
- Create Data Health dashboards to measure data quality as a business performance indicator.
- Coordinate delivery with technology teams, balancing fast experimentation with disciplined, scalable deployment.
- Identify Generative AI opportunities with a focus on practical value, responsible use, and risk management.
- Champion a data-driven culture across the local organisation.
Who Are You
- You have experience in data and digital leadership roles.
- You have a strong background in energy markets or energy management.
- You can translate business problems into data and digital solutions that deliver value.
- You understand Generative AI and its associated risks, including data privacy, reliability, and security.
- You have hands-on experience with data platforms and tools such as AWS S3, Athena, Dataiku, or PowerBI.
- You combine strategic thinking with a practical, delivery-focused mindset.
- You are curious and eager to test new technologies with purpose.
- You maintain high standards in governance and scaling.
- You communicate clearly and work well across teams and cultures.
Location: London, United Kingdom. This is a hybrid working role.
What We Offer
- A competitive salary package that reflects your seniority and expertise in data and digital.
- Hybrid working to support your work-life balance.
- A diverse range of projects at the intersection of business strategy, data transformation, and cutting-edge AI.
- Meaningful work within a global energy leader, directly contributing to decarbonisation.
- A friendly, collaborative environment where curiosity and fresh ideas are valued every day.
- Flexibility supported by ENGIE's culture and policies.
- Clear career development paths within a global organisation of 3,600 professionals across more than 20 business platforms.
- Access to learning and development programmes to grow your skills.
Why We Care
At ENGIE, every person has a role to play in speeding up the energy transition. We want you to make a difference and enjoy a fulfilling professional experience. We encourage you to take on exciting challenges and build a career path that reflects who you are.
Equal Opportunity
ENGIE is an equal opportunity employer. We evaluate qualified applicants without regard to race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, age, or any other protected characteristic. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you need reasonable accommodations during the recruitment process, please let us know. We are happy to support you in showing your full potential.
Local Data and Digital Officer in London employer: ENGIE UK
At ENGIE, we pride ourselves on being an excellent employer, offering a competitive salary and hybrid working arrangements that promote work-life balance. Our collaborative culture encourages curiosity and innovation, providing employees with diverse projects that drive meaningful change in the energy sector. With clear career development paths and access to learning opportunities, we empower our team members to grow their skills while contributing to a cleaner energy future in London.
StudySmarter Expert Advice🤫
We think this is how you could land Local Data and Digital Officer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ENGIE UK!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Local Data and Digital Officer at ENGIE UK.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ENGIE UK.
✨Apply Directly through Our Website
When you find a suitable opening like Local Data and Digital Officer at ENGIE UK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Local Data and Digital Officer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ENGIE UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ENGIE UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ENGIE UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ENGIE UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
