Software Engineer

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. 

Skills and Competencies

• Proficiency in C++ and/or C# for developing and maintaining data processing pipelines
• Experience handling multi-format data (TXT, CSV, XML, JSON, HTML, XBRL) to integrate heterogeneous data sources
• Working knowledge of SQL and database systems (data modelling, basic indexing, query optimisation)
• Familiarity with cloud environments (AWS preferred) for data storage and processing
• Ability to contribute to automated systems (scripts, batch processing, schedulers) under guidance
• Exposure to error handling, logging, and monitoring practices to support reliable processes
• Basic understanding of artificial intelligence concepts and interest in learning how AI tools can improve efficiency
• Awareness of responsible AI practices, including data ethics and risk considerations
• Strong analytical skills and attention to detail for data validation and quality checks
• Ideally some exposure to Python for data processing or automation
• Familiarity with version control tools such as GitHub
• Exposure to data quality checks, ETL pipelines, or large-scale data processing

Education

• Degree in Computer Science, Engineering, or a related technical field (Bachelor’s or Master’s preferred)
• Equivalent practical experience will also be considered

Responsibilities

Design, build, and support multi-source data processing pipelines to ensure accurate and reliable data integration.

• Collect and integrate data from multiple sources (FTP servers, APIs, internal repositories)
• Support the automation of data retrieval, storage, and organisation
• Analyse and validate data formats, structures, and completeness
• Identify and escalate data issues such as missing or invalid files using established logging mechanisms
• Transform and standardise data according to defined business rules
• Create and maintain database structures ensuring data integrity and avoiding duplication
• Implement basic indexing and querying mechanisms
• Support integration of external datasets and modules to enrich existing data
• Generate statistics and basic reports on processed data
• Produce exports in required formats (TXT, JSON, binary)
• Contribute to performance and scalability improvements in data workflows
• Diagnose and troubleshoot data pipeline issues with support from senior engineers
• Participate in continuous improvement initiatives, including exploration of AI-based enhancements

About the team

Our Data Engineering / Data Processing / Indexation team is responsible for collecting, transforming, and integrating data from multiple external and internal sources.
We contribute to the organisation by:
• ensuring the quality and reliability of the data used across the company
• developing robust and automated systems
• delivering structured data that powers the company’s products and services

By joining our team, you will work on technically engaging projects involving data processing, automation, and performance optimisation, with opportunities to grow into more complex and innovative solutions, including AI-driven approaches.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.