In this role, you will design, build, and maintain a robust data ecosystem that powers investment research and internal decision‑making. You'll partner closely with engineering, research, and product teams to create high‑quality, scalable data solutions.

This is a hands‑on opportunity to influence data strategy, optimise infrastructure, and introduce modern tooling across the enterprise.

Client Details

A financial services organisation that is rooted in a culture that values meaningful work, collaboration, and long‑term impact.

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.


Profile
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.


Job Offer
Competitive salary packageOpportunity to work in a large organisation within the financial services sector.Professional growth and development in a supportive environment.

Skills

AI Data Engineer