Our client, a highly respected institutional investor, is building a modern cloud-based data platform that will underpin its Investment Management business for years to come. They're seeking a Senior Investment Data Engineer to join at a formative stage and help shape it.
The Role
- Build a Fabric Data Lakehouse, implementing scalable, secure ETL/ELT pipelines across a medallion architecture
- Share expertise across a small engineering team, championing strong data engineering practice
- Partner with architects, business stakeholders and Information Security to design secure, scalable solutions
- Advocate for the platform, build stakeholder confidence, and support production issues as they arise
- Significant hands‑on data engineering experience on modern cloud platforms (Microsoft Fabric, Databricks, Azure or Snowflake)
- Strong skills in Python, Spark, SQL/NoSQL and Azure DevOps
- Experience with lakehouse architectures and Agile delivery
- Background in Investment Management with genuine understanding of the underlying data
- Microsoft Fabric Analytics Engineer certification (DP-600/DP-700)
- Excellent stakeholder communication and a hands‑on, self‑starting mindset
This is a rare opportunity to influence the strategy and standards of a data platform from the ground up, in a sector where data quality genuinely shapes outcomes.
