Data Architect (Hybrid, London) β€” Lead Data Transformation

Data Architect (Hybrid, London) β€” Lead Data Transformation

Full-Time 72000 - 88000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead data transformation projects and design innovative data solutions.
  • Company: Energy Jobline, a leader in the energy sector with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a strong emphasis on stakeholder engagement.
  • Why this job: Shape the future of data strategy while working with cutting-edge technologies.
  • Qualifications: Experience in data architecture, SQL, and Azure is essential.

The predicted salary is between 72000 - 88000 Β£ per year.

Energy Jobline ZR in London is seeking a highly skilled Data Architect to lead a Microsoft Fabric transformation.

The role combines strategic architecture with hands‑on design, across data modelling, governance and stakeholder engagement.

Work will focus on migrating SQL and Azure data estate to Microsoft Fabric, defining standards, delivering roadmaps, and shaping the data strategy in a collaborative, hybrid environment.

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Data Architect (Hybrid, London) β€” Lead Data Transformation employer: Energy Jobline ZR

World Wide Technology (WWT) is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Programme Director in London. With a strong focus on employee growth, WWT offers opportunities to lead cutting-edge automation projects while working in a hybrid environment that promotes work-life balance. The company values transparent communication and client-first service, ensuring that employees are empowered to drive meaningful outcomes and develop their skills in a supportive atmosphere.

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Contact Details:

Energy Jobline ZR Recruitment Team

We think you need these skills to ace Data Architect (Hybrid, London) β€” Lead Data Transformation

Communication Skills
SQL
Python
Problem-Solving Skills
Automation
Data Engineering
Data Governance