In-House Data Privacy Lawyer β€” Global GDPR & Compliance

In-House Data Privacy Lawyer β€” Global GDPR & Compliance

Full-Time 50000 - 65000 Β£ / year (est.) No working from home possible
Squire Patton Boggs

At a Glance

  • Tasks: Advise on GDPR compliance and oversee vendor data assessments.
  • Company: Squire Patton Boggs, a leading global law firm.
  • Benefits: Flexible working options and a supportive team environment.
  • Other info: 12-month fixed-term contract with opportunities for professional growth.
  • Why this job: Join a dynamic team and make a real impact on data privacy.
  • Qualifications: Qualified solicitor with 1-5 years PQE and a passion for data privacy.

The predicted salary is between 50000 - 65000 Β£ per year.

Squire Patton Boggs in Birmingham is seeking a Data Privacy Lawyer to support data protection compliance as part of a 12-month fixed-term contract. The candidate will advise on UK and EU GDPR matters, assisting the Data Protection Officer and General Counsel.

Responsibilities include:

  • Overseeing third-party vendor data assessments
  • Participating in global privacy compliance initiatives

A qualified solicitor with 1-5 PQE and a commitment to data privacy is desired, along with flexible working options advantageous for candidates.

In-House Data Privacy Lawyer β€” Global GDPR & Compliance employer: Squire Patton Boggs

Squire Patton Boggs is an exceptional employer, offering a dynamic work culture in Birmingham that prioritises employee growth and development. With flexible working options and a strong commitment to data privacy, employees are empowered to thrive in their roles while contributing to global compliance initiatives. Join us to be part of a collaborative team that values your expertise and supports your professional journey.

Squire Patton Boggs

Contact Details:

Squire Patton Boggs Recruitment Team

We think you need these skills to ace In-House Data Privacy Lawyer β€” Global GDPR & Compliance

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