Data Developer

Rimes Technologies; Singapore; On-site; SGD 50,000 - 75,000; Full time

Job summary

A financial technology firm in Singapore seeks a Data Developer to design and maintain ETL data pipelines, ensuring accuracy of financial datasets. You will collaborate with over 300 data vendors to integrate data sources and support custom analytics. The ideal candidate has strong programming skills in Python, experience with Git, and a relevant degree. Join us to contribute to cutting-edge data solutions in a fast-paced environment and work independently while supporting team collaboration.

Qualifications

• 1 year of related work or project experience in a technical, data-driven role.
• Confident communicator with exceptional interpersonal skills.
• Demonstrated ability to think creatively.

Responsibilities

• Design, build, and maintain ETL data pipelines to ingest and transform financial datasets.
• Work with structured and semi-structured data to ensure accuracy.
• Collaborate with data vendors to integrate new sources.

Skills

Excellent programming skills in Python

Experience with Git or similar version control systems

Strong verbal and written communication skills in English

Results-driven and detail-oriented

Flexible and efficient at multitasking

English communication

Independent work

Creativity

Education

Bachelor’s or Master’s degree in science, engineering, or a related technical field

Tools

SQL

XML

REST APIs

Databricks

Snowflake

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

The Data Team at Rimes delivers cloud-based financial datasets across multiple asset classes to institutional investors worldwide.

Data Developers at Rimes build and maintain tools to ingest, validate, and load data from a wide range of global sources into the Rimes platform. They are expected to be knowledgeable about global financial market data, contribute to custom client solutions and work closely with teams across time zones. Rimes’ hand-off management style encourages initiative, problem-solving, and end-to-end ownership of data workflows.

Responsibilities

• Design, build, and maintain ETL data pipelines to ingest and transform financial datasets.
• Work with a wide range of structured and semi-structured data, ensuring accuracy and consistency through validation and transformation.
• Collaborate with 300+ data vendors to integrate new sources and manage feed changes.
• Translate client and business needs into data workflows, for custom analytics and reporting.
• Partner with product and client teams to deliver high-quality data outputs on schedule.
• Build solutions supporting diverse financial asset classes and critical investment systems.
• Use internal tools and systems to manage data workflows and collaborate across teams.

Requirements

• Excellent programming skills in Python.
• Experience with Git or similar version control systems.
• Bachelor’s or Master’s degree in science, engineering, or a related technical field.
• At least 1 year of related work or project experience in a technical, data-driven role.
• Results-driven and detail-oriented with strong problem‑solving skills.
• Flexible and efficient at multitasking across various assignments.
• Strong verbal and written communication skills in English.
• Able to work independently, take initiative, and prioritize effectively.
• Interested in technology while recognizing the importance of process and structure.
• Attentive to detail with a demonstrated ability to think creatively.
• A confident communicator with exceptional interpersonal skills.

Desired Experience

• Knowledge of SQL, XML, or working with REST APIs.
• Familiarity with Databricks, Foundry (Palantir), Snowflake, or Parquet files.
• Solid programming skills in Perl.
• Understanding of financial markets and financial datasets.
• Experience working with Microsoft Excel in a data analysis or reporting context.
• CFA Level 2 candidates or above.

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.