AI Data Engineer

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

Responsibilities

• 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.

Qualifications

• 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...