Lead Data Engineer

Orbis; London; On-site; GBP 100,000 - 120,000; Full time

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

Data Engineering

SQL

Python

Data Architecture

Team Leadership

Tools

Azure

Databricks

SQL Server

SSIS

SSRS

SSAS

Job description

Lead Data Engineer - Investment Management | London | Hybrid | Permanent

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

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.