Senior Data Engineer

Principle Partners; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Principle Partners is seeking an experienced Data Engineer to help build a next-generation data platform. You will work on a modern lakehouse architecture with Databricks at the core, tightly integrated with AWS cloud-native services, enabling high-impact analytics for investment use cases.

You’ll design and implement scalable pipelines, collaborate with stakeholders across teams, and contribute to enterprise-grade data platforms.

Qualifications

• Hands-on Databricks experience is required.
• Strong AWS background with modern data tools (DBT, Airflow).
• Proven track record building scalable, production-grade data pipelines.

Responsibilities

• Build scalable data pipelines using Databricks, PySpark, and SQL.
• Design and optimize enterprise data platforms on AWS.
• Power analytics and drive data-driven investment insights.
• Collaborate with business teams to deliver real impact.

Skills

Pipelines engineering

Stakeholder collaboration

Analytics mindset

Tools

Databricks

AWS

DBT

Airflow

PySpark

SQL

Job description

We are partnering with a leading global investment firm undergoing a major data and cloud transformation. They are hiring experienced Data Engineers to build out their next-generation data platform.

This is a rare opportunity to work on a modern lakehouse architecture with Databricks at the core, fully integrated with AWS cloud-native services. This is a high-impact platform build, not a business-as-usual (BAU) maintenance role.

What You’ll Do

• Build scalable pipelines: Develop and maintain robust data pipelines using Databricks, PySpark, and SQL.
• Design AWS platforms: Architect and optimise enterprise data platforms on AWS cloud-native services.
• Power analytics: Work on enterprise-level data systems that drive critical investment and analytics use cases.
• Collaborate with stakeholders: Work closely with business teams to deliver real, data-driven impact.

What We’re Looking For

• Databricks Expertise: Strong hands-on experience with Databricks is a must-have.
• Modern Cloud Stack: A solid background in AWS combined with modern data tools (e.g., DBT, Airflow).
• Pipeline Engineering: Proven experience building scalable, production-grade data platforms and pipelines.

Why Join This Team?

• Executive Support: Benefit from strong leadership backing a firm-wide, long-term data strategy.
• Scale & Complexity: Gain exposure to large-scale, complex data environments within the financial sector.