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.

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