Assistant Director - Data 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 Proven ability to make critical technical design decisions and drive architectural direction for production data systems Demonstrated experience mentoring engineers and fostering technical growth within teams Strong focus on establishing and enforcing engineering best practices including code quality, testing, and documentation standards Effective communication skills for technical documentation, stakeholder management, and cross-functional collaboration Strong 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) for large-scale data processing Solid understanding of distributed computing, data partitioning, and performance optimisation Strong Spark SQL skills for data transformation, modelling, and optimisation Understanding of graph data structures, clustering techniques, and similarity approaches for entity resolution workflows Experience working with modern data formats such as Parquet, Delta Lake, and JSON Familiarity with statistical methods such as TF-IDF and similarity metrics in data processing contexts Proficiency with version control and build tools including Git, Gradle, Maven, or SBT Experience with testing frameworks such as ScalaTest or JUnit and test automation practices Ability to leverage AI-assisted development tools to improve productivity and code quality Strong analytical and problem-solving skills in complex data environments Education Master’s degree in Computer Science, Information Technology, or a related field Equivalent practical experience will also be considered