BigID Data Governance Engineer – Hybrid London (6m Contract)

BigID Data Governance Engineer – Hybrid London (6m Contract)

London Full-Time 132120 - 132120 Β£ / year (est.) No working from home possible
Hamilton Barnes

At a Glance

  • Tasks: Implement and configure the BigID platform for secure data discovery and retention.
  • Company: Hamilton Barnes, a leading tech recruitment agency in London.
  • Benefits: Competitive rate of Β£510 per day, hybrid work model.
  • Other info: 6-month contract with flexible office days, great for career growth.
  • Why this job: Join a dynamic team and enhance your data engineering skills with BigID.
  • Qualifications: Hands-on experience with BigID and strong data engineering skills.

The predicted salary is between 132120 - 132120 Β£ per year.

Hamilton Barnes is seeking a BigID Engineer for a 6-month contract based in London. The role involves implementing and configuring the BigID platform, ensuring secure data discovery and retention. Candidates should have hands-on experience with BigID and strong data engineering skills.

This hybrid position requires 2-3 days in the office each week and offers a competitive rate of Β£510 per day, inside IR35.

BigID Data Governance Engineer – Hybrid London (6m Contract) employer: Hamilton Barnes

Hamilton Barnes is an excellent employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth and development, we provide opportunities for skill enhancement and career progression, all while enjoying the flexibility of a hybrid work model. Our competitive compensation package reflects our commitment to attracting top talent, making us a rewarding choice for professionals seeking meaningful and impactful work.

Hamilton Barnes

Contact Details:

Hamilton Barnes Recruitment Team

We think you need these skills to ace BigID Data Governance Engineer – Hybrid London (6m Contract)

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