Assistant Director - Data Engineer

Skip to main content Go to homepage Menu Saved Jobs (0) EN Filter Languages English English Canadian Français Canadian French View all jobs Search Jobs Find jobs for Location Radius miles 5 miles 15 miles 25 miles 35 miles 50 miles Search Assistant Director - Data Engineer Brussels, Belgium Apply now Save job Posted 05/19/2026 Job reference 13564 Experience level Experienced Hire Job category Engineering & Technology Line of business Data Estate 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 CompetenciesProven ability to make critical technical design decisions and drive architectural direction for production data systemsDemonstrated experience mentoring engineers and fostering technical growth within teamsStrong focus on establishing and enforcing engineering best practices including code quality, testing, and documentation standardsEffective communication skills for technical documentation, stakeholder management, and cross-functional collaborationStrong experience building scalable data applications using Apache Spark, with proficiency in Scala preferred and Python also acceptableHands-on experience working with Databricks in a cloud environment (AWS preferred) for large-scale data processingSolid understanding of distributed computing, data partitioning, and performance optimisationStrong Spark SQL skills for data transformation, modelling, and optimisationUnderstanding of graph data structures, clustering techniques, and similarity approaches for entity resolution workflowsExperience working with modern data formats such as Parquet, Delta Lake, and JSONFamiliarity with statistical methods such as TF-IDF and similarity metrics in data processing contextsProficiency with version control and build tools including Git, Gradle, Maven, or SBTExperience with testing frameworks such as ScalaTest or JUnit and test automation practicesAbility to leverage AI-assisted development tools to improve productivity and code qualityStrong analytical and problem-solving skills in complex data environmentsEducation Master’s degree in Computer Science, Information Technology, or a related fieldEquivalent practical experience will also be considered Responsibilities Design, build, and optimise large-scale data processing pipelines and graph-based data solutions, while providing technical guidance and mentoring to support high-quality engineering delivery Lead critical technical design decisions for data pipelines, graph architectures, and system scalability strategiesMentor and develop junior and mid-level engineers, providing technical coaching and career guidanceConduct architectural code reviews to...