Payroll Data Integration Specialist in City of Westminster

Payroll Data Integration Specialist in City of Westminster

City of Westminster Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and implement payroll data integrations while ensuring data quality and security.
  • Company: Join EY, a leading global professional services firm with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with opportunities for travel across the UK.
  • Why this job: Be at the forefront of technology in payroll integration and make a real difference.
  • Qualifications: Experience in data integration and a passion for technology.

The predicted salary is between 63000 - 77000 Β£ per year.

EY is seeking a technology-driven payroll data integration professional to join its data services team.

You will collaborate with clients and EY experts to design, implement and test payroll data integrations, ensuring data quality, privacy and security across multi-year managed service engagements.

You will work with cloud platforms and automation tools, contribute to business development and continuous improvement, and travel as needed within the UK.

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Payroll Data Integration Specialist in City of Westminster employer: Ernst & Young

Ernst & Young is an exceptional employer that prioritises employee development and fosters an inclusive culture, making it a great place for professionals seeking to advance their careers in tax and transactions. With a focus on work-life balance and the opportunity to engage with a diverse client base in vibrant cities like London, Manchester, Glasgow, and Edinburgh, employees can expect meaningful work that contributes to both personal and professional growth.

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Contact Details:

Ernst & Young Recruitment Team

We think you need these skills to ace Payroll Data Integration Specialist in City of Westminster

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