Data Engineer

Data Engineer (Asset Managment)

Location: London (Hybrid - 4 days on-site)

Salary: £70,000 - £95,000 + benefits

The Role

We are seeking a mid-level Data Engineer to join a small, high-impact technology team. This role is suited to a self-starter who enjoys autonomy, takes full ownership of their work, and is comfortable operating close to the business in a regulated financial context.

You will design, build, and maintain robust batch data pipelines, transforming data from diverse sources into a consistent, well-modelled SQL-based warehouse. Your work will directly support investment analysis, risk management, accounting, and external reporting.

This is a hands-on role with real responsibility from day one, offering the opportunity to own projects end-to-end and contribute meaningfully to the firm’s data foundation.

Key Responsibilities

• Build, own, and maintain reliable batch data ingestion pipelines from a wide range of internal and external data sources
• Design, implement, and extend transformation workflows using SQL, dbt, and Python
• Develop clean, consistent, and well-documented data models to support investment, risk, accounting, and reporting use cases
• Implement data quality, validation, reconciliation, monitoring, and alerting processes to ensure trust and auditability
• Support the production of critical reports used internally and externally, including investor and regulatory reporting
• Work closely with investment, risk, and finance stakeholders to clarify requirements and translate business needs into robust data solutions
• Respond to ad-hoc data requests with speed, accuracy, and strong business context
• Take full ownership of deliverables across the full lifecycle: design, build, test, deploy, and maintain

Tech Stack: SQL Server, dbt, Python, Docker, Power BI, private cloud infrastructure (public cloud experience beneficial)

Required Skills & Experience

• 4+ years’ experience in a data engineering, software engineering, or similar technical role
• Experience working in financial services
• Strong hands-on SQL experience (SQL Server preferred) and experience using dbt
• Solid Python skills for data pipelines, tooling, and automation
• Proven experience designing and maintaining production-grade data models and pipelines
• Practical understanding of data quality, observability, reconciliation, and audit controls
• Track record of owning work end-to-end with minimal supervision
• Exposure to investment, risk, accounting, or reporting workflows within asset management or finance (preferred)

How You Work

• Self-motivated and comfortable operating with a high degree of autonomy
• Curious and analytical, with a willingness to dig into messy, real-world data
• Detail-oriented where controls and accuracy matter, but pragmatic and delivery-focused
• Confident communicator, able to work effectively with non-technical but quantitative stakeholders

What We Offer

• Competitive salary of £70,000 – £95,000 depending on experience
• Generous pension contribution
• Medical insurance
• High-ownership role within a small, collaborative team
• Direct exposure to investment, risk, and finance stakeholders
• Opportunity to shape and own core data infrastructure in a growing business