Head of Data Platform Engineering – Europe

Head of Data Platform Engineering – Europe

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Lead a team of engineers to enhance our data platform and tackle ambitious data challenges.
  • Company: Join a forward-thinking company focused on data privacy and compliance.
  • Benefits: Competitive salary, career growth opportunities, and a supportive work environment.
  • Other info: Work with a diverse team across Europe in a dynamic and innovative setting.
  • Why this job: Make a significant impact on data processing while developing your leadership skills.
  • Qualifications: Experience in engineering management and a passion for data technology.

The predicted salary is between 80000 - 100000 £ per year.

United States Digital Space LLC is looking for an Engineering Manager to lead a cross‑European team of six engineers working on our data platform, which processes trillions of events per day and handles data pseudonymisation for privacy compliance. You will set the technical direction, ensure high‑impact delivery, and invest deeply in the growth and careers of your engineers, balancing ambitious data challenges with strong people leadership.

Head of Data Platform Engineering – Europe 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 Head of Data Platform Engineering – Europe

Communication Skills
Problem-Solving Skills
Data Engineering
SQL
Python
ETL/ELT Processes
Data Pipeline Development