We’re supporting a top-performing investment firm as they look to grow their data and technology team. This is a rare opportunity to work directly with the Head of Data and senior leadership, shaping the future of analytics and tooling at a boutique fund managing over £1bn AUM. My client has a preference for Data Engineers working at a consultancy, onsite across Financial Services (PWC, Accenture, Deloitte, or EY).

What Makes This Special

• Be the first internal hire focused on technology and data — full ownership and visibility.
• Partner directly with the COO and investment team to transform internal research and reporting workflows.
• Broad exposure across investments, operations, compliance, and sales.
• Significant runway for career progression in a lean, entrepreneurial environment.

Key Responsibilities

• Take ownership of the firm’s internal analytics platform (Power BI) — enhancing and scaling it.
• Build a proprietary AI-powered natural language search tool for querying historical models and research notes.
• Develop dashboards and visualisation tools to support fund managers, client reporting, and internal stakeholders.
• Work with senior leadership to identify automation opportunities and solve data workflow challenges.
• Manage third-party vendors and consultants; oversee outsourced builds as needed.

Core Skill Requirements

• Power BI: Strong experience building dashboards and data models.
• SQL: Comfortable writing and optimising queries for complex datasets.
• Python (or other scripting languages): Exposure ideal; willingness to learn expected.
• Excel: Fluent, particularly for modelling and cross-functional reporting.
• Ability to translate business problems into technical solutions, working autonomously and with non-technical stakeholders.

Who We’re Looking For

• 2–4 years’ experience in data analysis, consulting, fintech, or financial services.
• A First-Class or high 2:1 degree from a Russell Group university — preferably in a STEM or quantitative field.
• A sharp, commercially aware mind — someone who can engage with investment logic, not just data.
• Strong communication skills and a collaborative, delivery-focused mindset.
• Someone who thrives in high-trust, high-autonomy environments.

Why Apply?

• Unique chance to build the internal data capability at a growing fund from the ground up.
• High exposure to decision-making and meaningful, business-wide impact.
• A commercial, hands-on role in a collegiate, five-day office culture.
• Strong bonus potential and a long-term path for growth and responsibility.

If you're looking for real ownership, complex problems, and close collaboration with senior stakeholders — this is the one.