Data Developer
TLDR
Design and operate cloud-based data pipelines on Databricks and PySpark to transform vendor data into production-ready datasets.
About Rimes
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 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.
Benefits
Flexible Work Hours
Flexible hybrid work environment
Health Insurance
Private Health Insurance (plus eligible dependents)
Paid Time Off
23 days of annual leave
Wellness Stipend
Employee Assistance Programme
Rimes Technologies builds enterprise data management solutions specifically designed for the global investment community. Our platform delivers investment intelligence that supports over $75 trillion in assets under management each year, making us a vital partner for financial firms aiming to improve data efficiency and decision-making.