Job Opportunities API

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.