Data Engineer
About the role
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 Experience building scalable data applications using Apache Spark, with proficiency in Scala preferred and Python also acceptable Hands-on experience working with Databricks in a cloud environment (AWS preferred) Good understanding of distributed computing, data partitioning, and performance optimisation Experience working with modern data formats such as Parquet, Delta Lake, and JSON Strong SQL skills for data transformation and querying Understanding of graph data structures, clustering techniques, and similarity approaches Familiarity with statistical methods such as TF-IDF and similarity metrics Proficiency with version control and build tools including Git, Gradle, Maven, or SBT Awareness of code quality, maintainability, and testing practices using frameworks such as ScalaTest or JUnit Experience contributing to testing approaches including unit and integration testing Ability to use AI-assisted development tools to improve productivity and support development tasks Strong analytical and problem-solving skills Effective communication skills and ability to collaborate within cross-functional teams Willingness to learn new technologies and develop engineering expertise Education Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field Equivalent practical experience will also be considered