Build and shape a modern data platform supporting investment and research.Join a global, innovation-driven family office in a high-impact technical role.
About Our Client
A financial services organisation that is rooted in a culture that values meaningful work, collaboration, and long-term impact.
Job Description
Build data foundations that support LLM-powered applications and ML-driven workflows.Design, build, and manage enterprise data pipelines, models, and infrastructure.Acquire, cleanse, normalise, and enrich datasets from multiple sources.Collaborate with quantitative researchers and investment teams to meet data needs.Monitor, optimise, and document data systems, ensuring quality, performance, and security.Drive best practices in data governance, compliance, and platform enhancement.
The Successful Applicant
6 years' experience in financial/quantitative data engineering within leading firms.Strong skills in SQL, Python, data modeling, and modern data warehousing platforms.Hands-on experience with Airflow, Terraform, and cloud platforms (AWS/Azure/GCP).Familiarity with financial datasets such as Bloomberg, FactSet, S&P Global, and MSCI.Excellent communication, problem-solving, and ability to work across technical and non-technical teams.
What's On Offer
Competitive salary packageOpportunity to work in a large organisation within the financial services sector.Professional growth and development in a supportive environment.
Contact
Manpreet Kaur
Quote job ref
JN-012026-6929286
