Temporary Data Manager in High Wycombe

Temporary Data Manager in High Wycombe

High Wycombe Temporary 39600 - 48400 Β£ / year (est.) No working from home possible
Marc Daniels

At a Glance

  • Tasks: Lead data migration projects and ensure accurate data transfer during tech transformations.
  • Company: Join a large organisation embracing innovative technology changes.
  • Benefits: Competitive pay, flexible hours, and opportunities for skill development.
  • Other info: Fast-paced environment with potential for career advancement.
  • Why this job: Be at the forefront of tech transformation and make a real difference.
  • Qualifications: Experience in data management and strong problem-solving skills.

The predicted salary is between 39600 - 48400 Β£ per year.

Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.

About the Role

We are working with a large, complex organisation undergoing a significant programme of technology transformation, including the introduction of new SaaS platforms, the consolidation of legacy systems and ongoing business change.

As Data Migration Lead, you will take ownership of the organisation's data migration strategy and delivery, ensuring data is accurately migrated.

Temporary Data Manager in High Wycombe employer: Marc Daniels

As a Payroll and Benefits Administrator at our Colchester Head Office, you will join a dynamic team that values collaboration and employee well-being. We offer a supportive work culture with flexible hybrid working arrangements after your initial probation period, alongside opportunities for professional growth and development. Our commitment to employee satisfaction is reflected in our comprehensive benefits package and the vibrant community atmosphere at our Colchester location.

Marc Daniels

Contact Details:

Marc Daniels Recruitment Team

We think you need these skills to ace Temporary Data Manager in High Wycombe

Communication Skills
Problem-Solving Skills
SQL
Python
API Integration
Data Engineering
ETL/ELT Processes