Data Developer

About Rimes

Rimes provides the Intelligence Fabric for Capital Markets, a trusted data network and intelligence architecture that transforms fragmented data, operations and workflows into decision-grade intelligence. The world’s leading institutional investors, asset managers, and service providers rely on Rimes to help them make better investment decisions that power more than US$ 75 trillion in AUM annually.

The Opportunity:  

The Data Team at Rimes delivers cloud-based financial datasets that support critical investment decisions for institutional clients globally. 

As a Data Developer, you will design and operate data pipelines on modern cloud platforms, transforming raw vendor data into validated, production-ready datasets. You will contribute to the scalability, reliability, and accuracy of the Rimes data platform, supporting both standardised and client-specific solutions. 

Responsibilities: 

Build and maintain scalable data pipelines using Databricks and PySpark to ingest, transform, and deliver financial datasets  

Ensure datasets are accurate, consistent, and validated, supporting downstream analytics and reporting  

Integrate and manage data from global vendors, adapting to feed changes and evolving data requirements  

Translate business and client requirements into robust, production-ready data workflows  

Partner with product and client teams to deliver data outputs aligned to agreed timelines and quality standards  

Contribute to solutions supporting multiple asset classes and investment workflows  

Operate within structured processes and tooling to ensure traceability, control, and operational resilience of data pipelines 

Requirements: 

Strong programming skills in Python and PySpark  

Hands-on experience working with Databricks or similar distributed data processing platforms  

Familiarity with version control systems (e.g. Git)  

Degree in a technical discipline (e.g. Engineering, Computer Science, Mathematics)  

At least 1 year of experience working with data in a technical or project-based context  

Experience working with structured or semi-structured data, with an emphasis on data transformation and validation  

Strong problem-solving skills with a high level of accuracy and attention to detail  

Able to manage multiple tasks and priorities effectively  

Clear and effective communication skills  

Comfortable working independently while collaborating across distributed teams 

Desired Experience:

Experience with SQL and data lake / lakehouse architectures  

Familiarity with data formats such as Parquet, XML, and ingestion via APIs  

Exposure to platforms such as Snowflake or Foundry (Palantir)  

Understanding of financial markets or financial datasets  

Experience using Excel for data analysis or validation  

Progress toward CFA or equivalent financial qualification

What We Offer:  

Private Health Insurance (plus eligible dependents)

23 days of annual leave

Employee Assistance Programme

Compensation: Competitive pay and bonus eligibility

Work Life Balance: Flexible hybrid work environment

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.

Visit our Careers page to see our complete listings.