Data Engineer

Rimes Technologies; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading enterprise data management firm in Singapore seeks a Data Engineer to enhance its data platform. You will lead automation initiatives and innovate across data infrastructures. The ideal candidate has strong experience in Python and SQL, and familiarity with big data tools like Databricks. This role presents an opportunity to grow into a leadership position.

Qualifications

• Experienced in Python and SQL with hands-on engineering expertise.
• Skilled in profiling and optimizing ETL systems and large-scale data pipelines.
• Familiar with IT infrastructure and cloud platforms.

Responsibilities

• Design and evolve core data infrastructure for global delivery.
• Develop and automate ETL pipelines and data workflows.
• Leverage monitoring tools to maintain system reliability.

Skills

Python

SQL

ETL systems optimization

Big data project experience

Problem-solving skills

Education

Degree in Computer Science or Engineering

Tools

Databricks

Palantir Foundry

AWS

Azure

Datadog

Job description

Rimes provides enterprise data management solutions to the global investment community. Driven by our passion for solving the most complex data problems, we provide our clients with investment intelligence that powers more than US$75 trillion in assets under management annually. The world’s leading institutional investors, asset managers and service providers rely on Rimes to help them make better investment decisions using accurate information and industry-leading technology.

The Opportunity

As part of this transformation, we are seeking a Data Engineer to help shape and enhance our data platform. This role involves leading initiatives, driving automation, and innovating across our data infrastructure and workflows. Over time, there is potential to grow into a team leadership position.

Key Responsibilities

Platform Design & Development

• Design and evolve core data infrastructure to support global delivery.
• Advocate for code-first development practices, ensuring scalable, testable, and maintainable solutions.
• Innovate in big data environments, including Databricks, Palantir Foundry, and distributed systems.

Automation & Optimization

• Develop and automate ETL pipelines, data workflows, and monitoring systems.
• Optimize performance and reliability of large-scale data systems with proactive observability.

Monitoring & Reliability

• Leverage monitoring tools such as Datadog to maintain transparency and rapid issue resolution.
• Ensure platform stability and scalability, taking accountability for delivery outcomes.
• Provide technical guidance and mentorship, influencing cross-functional teams.
• Collaborate effectively with SRE, Infrastructure, and Data teams to achieve strategic goals.
• Solve complex challenges proactively, implementing resilient solutions.

Who You Are

• Experienced in Python and SQL with hands-on engineering expertise.
• Skilled in profiling and optimizing ETL systems and large-scale data pipelines.
• Familiar with IT infrastructure, working experience in datacentre or any cloud platform (AWS, Azure, etc.) will be a plus.
• Comfortable working with distributed systems / big data projects (SMB clusters, Palantir Foundry, Databricks, etc. are a plus).
• Familiar with monitoring and observability tools (Datadog or similar).
• Strong problem-solver with the ability to dive deep into complex technical issues.
• Background in financial services or other data-intensive domains is advantageous. Degree in Computer Science, Engineering, or equivalent practical experience.

Only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.

Rimes is committed to promote the values of diversity and inclusion throughout the business. Whether it’s through recruitment, retention, career progression or training and development, we are committed to improving opportunities for people regardless of their background or circumstances.