Rimes Technologies Logo

Rimes Technologies

Data Developer

Posted Yesterday
Be an Early Applicant
Easy Apply
In-Office
Singapore
Junior
Easy Apply
In-Office
Singapore
Junior
Data Developers at Rimes build and maintain ETL pipelines for financial datasets, ensuring data accuracy and managing integrations with multiple data vendors.
The summary above was generated by AI

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 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.

Visit our Careers page to see our complete listings.

Top Skills

Databricks
Foundry
Git
Parquet
Python
Rest Apis
Snowflake
SQL
XML

Similar Jobs

Yesterday
In-Office
Singapore, SGP
Internship
Internship
Gaming • Hardware
Join Razer's IT Applications team as a Data Engineer Intern, supporting AI initiatives, developing AI features, and enhancing enterprise applications.
Top Skills: Azure AiPythonScikit-LearnTensorFlow
6 Days Ago
In-Office
Singapore, SGP
Mid level
Mid level
Information Technology • Consulting
The Data Engineer is responsible for designing and implementing modern data platforms, developing ETL pipelines, ensuring data quality, and supporting ETL pipeline issue resolution.
Top Skills: Amazon S3Aws AthenaAws GlueAws LambdaAws Step FunctionsPysparkPythonSQL
7 Days Ago
In-Office
Singapore, SGP
Mid level
Mid level
Artificial Intelligence • Information Technology • Software • Generative AI
The Data Engineer will optimize data infrastructure, develop scalable ETL processes, establish data governance, and collaborate with data teams to ensure data accuracy and performance.
Top Skills: AirflowSparkAWSAzureBigQueryDockerGoogle Cloud PlatformHadoopJavaKafkaKubernetesPrefectPythonRedshiftScalaSnowflakeSQL

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account