International Statutory & Technical Accounting Lead

International Statutory & Technical Accounting Lead

Full-Time 66150 - 80850 Β£ / year (est.) No working from home possible
Databricks

At a Glance

  • Tasks: Lead uniform accounting across 27 entities and ensure timely statutory filings.
  • Company: Join Databricks, a leader in innovative data solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on collaboration and career advancement.
  • Why this job: Make a significant impact on global accounting processes and drive innovation.
  • Qualifications: ACA/ACCA/CIMA or equivalent with strong US GAAP/IFRS knowledge.

The predicted salary is between 66150 - 80850 Β£ per year.

Databricks is seeking a Manager for International Statutory & Technical Accounting in London to lead uniform accounting across 27 entities and report to the Director of International Accounting.

You will build scalable processes, partner with Tax, Legal, HR, and US accounting, and drive the Net Suite to SAP transition while ensuring timely statutory filings.

The role requires ACA/ACCA/CIMA or equivalent and a strong US GAAP/IFRS background, with multinational experience preferred.

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International Statutory & Technical Accounting Lead employer: Databricks

Databricks is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to mentor others, all while working with cutting-edge data analytics solutions. The collaborative environment encourages creativity and teamwork, making it a rewarding place for those passionate about technology and client engagement.

Databricks

Contact Details:

Databricks Recruitment Team

We think you need these skills to ace International Statutory & Technical Accounting Lead

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