Investment Platform Data Engineer

About the role

A leading investment management organisation is looking for an experienced Investment Platform Data Engineer on an initial four‑month contract. Working closely with Investment Technology and Risk teams, you will enhance and maintain critical data platforms, support market‑data integrations and drive improvements across the investment data landscape. The role is hands‑on, requiring strong data‑engineering expertise in a fast‑paced financial environment.

Key responsibilities

• Design, build and maintain scalable data pipelines and workflows.
• Develop and enhance data solutions using Snowflake, Airflow and DBT.
• Support Bloomberg and other market‑data integrations across investment platforms.
• Ensure quality, integrity and availability of investment data.
• Troubleshoot and resolve data issues across multiple systems and sources.
• Collaborate with Technology, Data and Investment teams to deliver platform enhancements.
• Support data transformation, reconciliation and validation processes.
• Drive best practices in data engineering, automation and platform support.

Required profile

• Experience within Investment Management, Asset Management or Financial Services.
• Expertise with Snowflake, Airflow and DBT.
• Experience integrating Bloomberg data and services into enterprise platforms.
• Strong SQL and data‑modelling skills.
• Background working with large‑scale financial or investment datasets.
• Understanding of data quality, governance and monitoring practices.
• Ability to work effectively with both technical and business stakeholders.

Required skills

• Snowflake
• Airflow
• DBT
• Bloomberg Integration
• SQL