Lead Data Engineer

Orbis; City Of London; Hybrid; GBP 102,000 - 120,000; Full time

Job summary

An established investment management firm in London is seeking a Lead Data Engineer to own and innovate their data function. You will implement data strategies, manage a modern data stack, and lead a team of professionals. The ideal candidate will have extensive data engineering experience, particularly in financial services, and strong skills in SQL and Python. This role offers a hybrid work model and a salary of up to £120,000 plus bonus.

Qualifications

• Extensive background in data engineering, ideally in financial services.
• Experience leading or managing a technical data team.
• Proficiency in SQL and Python with relevant libraries.
• Knowledge of Azure and data architecture.

Responsibilities

• Implement data strategy and architecture.
• Build and maintain data stack including data lakes and pipelines.
• Ensure data infrastructure supports analytics requirements.
• Lead and mentor a team of data professionals.

Skills

SQL

Python (Pandas, NumPy)

Data architecture

Team leadership

Azure

Tools

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.