Hiring: VP Data Platform Engineer β€” Real-Time Analytics

Hiring: VP Data Platform Engineer β€” Real-Time Analytics

Full-Time 72000 - 88000 Β£ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Lead the development of cutting-edge data platforms for real-time analytics.
  • Company: Goldman Sachs, a leading global investment banking firm.
  • Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Join a dynamic team on a bustling trading floor with exciting challenges.
  • Why this job: Shape the future of trading with innovative technology and impactful analytics.
  • Qualifications: Extensive experience in data engineering and a passion for high-quality software.

The predicted salary is between 72000 - 88000 Β£ per year.

Goldman Sachs London is seeking a senior data platform engineer to own core post-trade systems, drive full product lifecycle, and deliver scalable, low-latency data processing. You will shape ingestion, distributed computation, and AI-augmented analytics while aligning with regulatory requirements and business needs. The role emphasizes ownership, modern tech adaptation, and high standards for software quality within a bustling trading floor environment.

Hiring: VP Data Platform Engineer β€” Real-Time Analytics employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

We think you need these skills to ace Hiring: VP Data Platform Engineer β€” Real-Time Analytics

SQL
Python
Problem-Solving Skills
Data Pipeline Development
Communication Skills
Data Engineering
API Integration