AI Data Engineer

A financial services organisation that is rooted in a culture that values meaningful work, collaboration, and long‑term impact.ResponsibilitiesBuild 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.Qualifications6 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.#J-18808-Ljbffr