DCO Planning Lawyer β€” Lead for NSIP Energy Project

DCO Planning Lawyer β€” Lead for NSIP Energy Project

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the DCO workstream and advise on planning processes for energy projects.
  • Company: Join a respected planning team in a dynamic energy sector.
  • Benefits: Competitive daily rate and flexible working arrangements.
  • Other info: Initial 6-month assignment with potential for extension.
  • Why this job: Make a significant impact on major energy projects while advancing your legal career.
  • Qualifications: Experience in Planning Law and Development Consent Orders is essential.

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

Energy Jobline ZR is seeking an experienced Planning Lawyer with specialist Development Consent Order (DCO) expertise for an initial 6-month assignment in London.

The role will require some London-based office attendance and offers a competitive daily rate.

You will lead the DCO workstream, advise on process and strategy, and work with a respected planning team to deliver day-to-day DCO objectives. Immediate availability is preferred.

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DCO Planning Lawyer β€” Lead for NSIP Energy Project 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 DCO Planning Lawyer β€” Lead for NSIP Energy Project

Communication Skills
Problem-Solving Skills
Attention to Detail
Stakeholder Management
Data Engineering
SQL
Python