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Job Description
Data Engineering – AVP & VP | Singapore
We are working with one of the world's largest and most respected investment institutions on five strategic Data Engineering hires in Singapore:
These hires will help build and modernise the firm's enterprise data capabilities, creating scalable platforms that support investment research, portfolio management, risk analytics and data-driven decision-making across multiple asset classes.
What they are looking for:
- Strong, hands-on Databricks engineering experience
- Solid commercial experience with AWS (essential)
- Strong programming ability, particularly in Python
- Experience designing and delivering scalable data pipelines and platforms
- Good understanding of data architecture, engineering standards and production-quality development
- Ability to work closely with architects, engineers and business stakeholders
- For one VP position, experience managing permanent engineers and external vendors
These are genuinely hands-on positions. Even at VP level, candidates should remain technically engaged and comfortable contributing to design, development and delivery.
Why consider the opportunity
- Work on large-scale data platforms that directly support global investment decisions
- Join an organisation investing heavily in modern engineering, data and AI
- Gain exposure across public markets, private markets, real estate, infrastructure and multi-asset strategies
- Partner closely with investment, risk and technology teams
- Combine meaningful technical challenges with long-term stability and career development
- Collaborative, high-calibre environment with flexible working arrangements
Location: Singapore
Please message me directly for further details or a confidential discussion – [Confidential Information]
