Associate Director - Data Engineering

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 Associate Director - Data Engineering London, United Kingdom Apply now Save job Posted 06/05/2026 Job reference 13815 Experience level Experienced Hire Job category Engineering & Technology Line of business Strategy_MA 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 CompetenciesSignificant hands-on experience in data engineering, analytics engineering, or related disciplines delivering enterprise data solutionsStrong proficiency in Databricks, SQL, and Python/PySpark, including building, optimizing, and troubleshooting ETL pipelinesExperience designing scalable, maintainable data architectures and dimensional models for BI, reporting, and analytical use casesProven ability to partner with business stakeholders to gather requirements, shape solutions, and communicate effectivelyStrong understanding of data engineering best practices including version control, testing, documentation, and governanceExperience with Git/GitHub for collaborative development, code reviews, and release managementExposure to metadata-driven or configuration-based approaches such as YAML-based metric standardizationKnowledge of Power BI and/or Microsoft Fabric, particularly for semantic modeling and downstream data consumptionDemonstrated people leadership, including coaching and developing junior engineersStrong organizational, problem-solving, and communication skills, with the ability to balance technical delivery and apply AI-enhanced practices to improve productivityEducationBachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experienceResponsibilitiesLead the design, delivery, and continuous improvement of business-focused data solutions, combining hands-on technical leadership with strong stakeholder engagement in an AI-first environment.Partner with business stakeholders to translate reporting, planning, and analytical requirements into scalable data solutionsDeliver curated, well-documented datasets aligned to agreed definitions and business expectationsAct as a trusted technical partner, balancing delivery speed, data quality, and long-term scalabilityArchitect modular ETL pipelines to improve maintainability, reuse, and traceabilityDefine and uphold engineering standards across coding, testing, documentation, and version control practicesSupport BI lakehouse development and integration...