Local Data & Digital Transformation Lead β€” London (Hybrid)

Local Data & Digital Transformation Lead β€” London (Hybrid)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
ENGIE UK

At a Glance

  • Tasks: Lead data and digital transformation initiatives for BP UK in London.
  • Company: ENGIE UK, a leader in energy solutions with a focus on sustainability.
  • Benefits: Flexible working arrangements and the chance to contribute to a cleaner energy future.
  • Other info: Join a dynamic team dedicated to innovation and sustainability.
  • Why this job: Be at the forefront of digital transformation in the energy sector.
  • Qualifications: Experience in energy markets and knowledge of AWS S3 and PowerBI.

The predicted salary is between 60000 - 80000 Β£ per year.

ENGIE UK is seeking a Local Data & Digital Officer to lead data and digital transformation for BP UK in London. This role involves building a clear transformation roadmap, enforcing data governance, and championing a data-driven culture.

The ideal candidate will have experience in energy markets and a strong understanding of data platforms like AWS S3 and PowerBI. This position supports flexible working arrangements while contributing to a cleaner energy future.

Local Data & Digital Transformation Lead β€” London (Hybrid) employer: ENGIE UK

ENGIE UK is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the energy sector. With a hybrid work environment and a commitment to employee growth, team members are encouraged to develop their skills while contributing to cutting-edge AI and data analytics strategies. Joining ENGIE means being part of a global leader dedicated to sustainable energy solutions, where your expertise can make a meaningful impact.

ENGIE UK

Contact Details:

ENGIE UK Recruitment Team

We think you need these skills to ace Local Data & Digital Transformation Lead β€” London (Hybrid)

Communication Skills
Problem-Solving Skills
SQL
Automation
Attention to Detail
Python
Data Governance