Engineering Manager - Data & AI
Posted 1 week ago by Devonshire Hayes
£85,000 Per year
Undetermined
Hybrid
London, UK
Summary: The Engineering Manager role focuses on leading and scaling data teams within a technology-driven environment, specifically in Data & AI. The ideal candidate will possess hands-on expertise in modern data engineering practices and a strong programming background. A proven track record in delivering innovative data-driven products, particularly in regulated industries, is essential. The position offers a hybrid working arrangement with four days in the office and one day from home.
Key Responsibilities:
- Leading, managing, building, and scaling data teams in a SaaS, RegTech, or technology-driven environment.
- Implementing modern data engineering practices and managing the full data life cycle.
- Utilizing programming skills in languages such as Python, Java, or Scala with data pipeline frameworks and cloud infrastructure (AWS or Azure).
- Delivering innovative, data-driven products from concept to production in a regulated industry.
- Ensuring compliance with data governance, security, and privacy standards in a B2B or regulated context.
Key Skills:
- Experience in leading and scaling data teams.
- Hands-on expertise in modern data engineering practices.
- Strong programming skills in Python, Java, or Scala.
- Experience with data pipeline frameworks and cloud infrastructure (AWS or Azure).
- Proven track record in delivering data-driven products in regulated industries.
- Deep understanding of data governance, security, and privacy standards.
Salary (Rate): £120k yearly
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Devonshire Hayes have partnered with a fantastic organisation to help them secure a dynamic and hands-on Engineering Manager across Data & AI.
You will have experience -
- Leading, managing, building and scaling data teams in a SaaS, RegTech or technology driven environment.
- Hands-on expertise in modern data engineering practices, cloud data platform and full data life cycle.
- Strong programming skills would be ideal for this position, languages such as Python, Java or Scala with Data pipeline frameworks and cloud infrastructure (AWS or Azure).
- A proven track record of delivering innovative, data driven products from concept to production, ideally in a regulated industry.
- Deep understanding of data governance, security, privacy standards especially within a B2B or regulated context.
Working arrangement: 4 days in the office/1 day from home.