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Connect with headhunters to apply for similar jobsLead Data Engineer
Job summary
Join a forward-thinking investment management firm as a Lead Data Engineer, where you will spearhead a new data team and drive innovation in data technology. This role offers the chance to shape the company's data strategy and architecture while overseeing the development of a modern data stack. You'll be at the forefront of implementing data solutions that support data science and analytics teams, ensuring the firm remains competitive in a rapidly evolving industry. If you are passionate about data engineering and ready to lead a talented team, this is an exceptional opportunity to make a significant impact.
Qualifications
- Extensive experience in data engineering, especially in financial services.
- Strong proficiency in SQL and Python, with experience in data architecture.
Responsibilities
- Implement data strategy and architecture to enhance data capabilities.
- Lead and mentor a team of data professionals while building a modern data stack.
Skills
Tools
Salary: Up to £120,000 + bonus
Location: London, UK (Hybrid - WFH & Office)
Industry: Investment Management
Sector: Data
About the Role
A hands-on Lead Data Engineer role within an established investment management firm, where you will take ownership of a new data team and drive innovation in data technology. You will be responsible for defining and implementing data strategy and architecture, building a modern data stack, and leading a team of data professionals to enhance the firm's capabilities.
Responsibilities
- Implement data strategy and architecture
- Build and maintain a modern data stack, including data lakes, warehouses, and pipelines for data ingestion and processing
- Ensure the data infrastructure meets the requirements of data science and analytics teams
- Lead and mentor a growing team of data professionals
- Extensive background in data engineering roles, ideally within financial services
- Previous experience leading or managing a technical data team
- Strong proficiency in SQL and Python (Pandas, NumPy, etc.)
- Experience with Azure and data architecture, including technologies like Databricks and SQL Server
- Expertise in SSIS, SSRS, and SSAS
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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