We are supporting a fast-growing, high-performing investment firm as they expand their lean, agile technology team. This newly created role sits at the intersection of data engineering and business intelligence — offering real ownership, front-to-back exposure, and close interaction with the business.
The team is small, collaborative, and strategically embedded within the firm’s data-driven decision-making processes. With major transformation initiatives underway, this is an opportunity to have impact from day one while helping shape the future of reporting and analytics.
Key Responsibilities:
Maintain and extend ETL pipelines and support the firm’s data warehouse infrastructure.
Work closely with business teams to understand data and reporting needs.
Develop and enhance Power BI dashboards and reporting solutions.
Assist with modernising and automating legacy processes.
Play a key role in the design, testing, and deployment of new data solutions.
Technology Stack:
Azure SQL, SSIS, Power BI, PowerShell
C# (used for testing automation)
Excel/Power Query
CI/CD tooling
What We’re Looking For:
A hands-on data engineer or BI engineer with solid SQL skills and experience in building or maintaining ETL processes.
Someone who thrives in a fast-paced, high-accountability environment with direct access to stakeholders.
Experience working in a financial, regulated, or data-critical environment preferred — though not essential.
A collaborative mindset, strong communication skills, and genuine enthusiasm for data.
This is an ideal role for someone who enjoys solving problems, takes pride in well-crafted data pipelines and reports, and wants to work in a lean team where their contributions are visible and valued.