Player‑Coach Engineering Manager, Data & AI in London

Player‑Coach Engineering Manager, Data & AI in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Story Terrace Inc.

At a Glance

  • Tasks: Lead and mentor a team while driving software and data project delivery.
  • Company: QuantSpark, a forward-thinking data and AI consultancy based in London.
  • Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team with autonomy to influence tooling and project roadmaps.
  • Why this job: Shape the future of AI and data engineering while making a real impact.
  • Qualifications: Experience in engineering management and a passion for mentoring teams.

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

Quant Spark, a London-based data and AI consultancy, seeks a leader to drive delivery across software and data projects.

You will mentor a team of 4 Data Engineers, 1 AI Engineer, and 1 QA, balancing coaching with hands-on architectural work and client-facing delivery.

You will shape engineering standards, embed responsible AI, and sit on the management team with autonomy to guide tooling and roadmaps.

Office in London with remote flexibility. #J-18808-Ljbffr

Player‑Coach Engineering Manager, Data & AI in London employer: Story Terrace Inc.

At Story Terrace Inc., we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Marketing Director in the UK, you will not only lead a talented team but also enjoy competitive benefits such as a substantial salary, private health insurance, and ample vacation time, all while contributing to meaningful growth and brand development in a forward-thinking environment.

Story Terrace Inc.

Contact Details:

Story Terrace Inc. Recruitment Team

We think you need these skills to ace Player‑Coach Engineering Manager, Data & AI in London

Communication Skills
Python
SQL
Problem-Solving Skills
Data Engineering
Data Governance
Automation