KEY EXPERIENCE

• 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
  This is an excellent opportunity to lead a data function within a well-established firm, shaping its data strategy and future direction.
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• Consultant: Dan Weiser
  
  At Orbis Group, we are committed to creating an inclusive and diverse workplace. Research indicates that candidates, especially from underrepresented backgrounds, often hesitate to apply for jobs if they don’t meet every qualification.
  
  If you’re excited about a role but don’t perfectly align with every requirement, we encourage you to apply. Your unique skills and experiences may be the perfect fit for the job or other opportunities that arise

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