Data Engineers | Databricks, AWS & Python | VP | Singapore
Are you a hands-on data engineering leader who wants to shape enterprise-scale platforms with direct investment impact?
I'm partnering with one of the world's largest global investment organisations to hire multiple VP-level Data Engineers in Singapore.
You’ll lead the design and delivery of modern data platforms supporting portfolio management, trading, risk and investment operations. These roles combine hands-on coding, technical leadership and senior stakeholder engagement.
No Finance Experience Required
Financial-markets experience is not essential. The team welcomes experienced data engineering leaders from technology companies, global banks, fintech firms, consultancies and other data-intensive organisations.
What You’ll Be Doing
- Lead the design and delivery of enterprise data and analytics platforms.
- Build scalable solutions using Databricks, Python, PySpark, Spark SQL, SQL and dbt.
- Design AWS-based lakehouse architecture covering modelling, governance, lineage and data quality.
- Remain hands-on across coding, system design, deployment and production.
- Set technical direction and raise engineering standards.
- Work with architects, product teams and senior business stakeholders.
- Mentor engineers and, for one position, manage permanent staff and external vendors.
What We’re Looking For
- Strong hands-on Databricks experience is essential.
- Commercial AWS experience is mandatory. Azure-only candidates cannot be considered, even with Databricks experience.
- Strong hands-on Python, PySpark, Spark SQL and SQL expertise.
- Experience designing large-scale data pipelines, lakehouse platforms or analytics systems.
- Strong knowledge of data architecture, modelling, governance, lineage and quality.
- Exposure to dbt, Airflow, Pandas, Docker, Kubernetes, Terraform or CI/CD.
- Proven technical leadership and the ability to influence senior stakeholders.
- A hands-on engineering mindset—you must remain comfortable writing and reviewing code.
- Team-management experience is required for one of the VP openings.
- Candidates should currently be based in Singapore.
Why Join?
- Lead major Databricks and AWS initiatives at genuine enterprise scale.
- Build platforms that directly influence global investment decisions.
- Join a long-term data and technology transformation with senior-level ownership.
- Gain exposure across asset classes, investment strategies and business functions.
- Choose between hands-on technical-leadership and people-management paths.
- Join a stable, flexible environment offering complex work and long-term career development.