> Markdown version of [/jobs/ext/18568-assistant-director-data-engineer](https://www.wearedevelopers.com/jobs/ext/18568-assistant-director-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Assistant Director - Data Engineer - **Company:** Moody's - **Location:** Brussel, Belgium - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon S3, Automation of Tests, Big Data, Business Software, Cluster Analysis, Software Documentation, Software Quality, Code Review, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Structures, Data Systems, Document Management Systems, Distributed Systems, Gradle, Apache Hive, JSON, Junit, Python (Programming Language), Apache Maven, Operational Databases, Performance Tuning, Data Streaming, Systems Architecture, Strategies of Testing, Parquet, Data Processing, Apache Spark, Reliability of Systems, Change Data Capture, Git, Data Lakes, Information Technology, Build Tools, Sbt (Software), Software Version Control, Data Pipelines, Databricks - **Published:** May 21, 2026 - **Apply:** https://be.indeed.com/viewjob?jk=70fdc03894578ed6 ## About the Role Do you have experience in System architecture?, Do you have a Master's degree?, * 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, * Master's degree in Computer Science, Information Technology, or a related field * Equivalent practical experience will also be considered ## Description 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 strategies * Mentor and develop junior and mid-level engineers, providing technical coaching and career guidance * Conduct architectural code reviews to ensure adherence to engineering best practices and design standards * Define and enforce testing strategies across the team to maintain code quality and system reliability * Design and maintain scalable Spark-based data pipelines for processing large volumes of data * Develop graph-based analytics including clustering, similarity modelling, and entity resolution approaches * Implement parsing, normalisation, and standardisation logic across complex datasets * Build and maintain ETL workflows ingesting data from multiple sources such as Delta Lake, Parquet, and S3 * Implement data quality frameworks, validation checks, and incremental processing strategies * Develop monitoring, diagnostics, and tooling to ensure pipeline reliability and performance * Collaborate with Product, Data Science, and Engineering stakeholders to align technical roadmap with business objectives * Document system architecture, data flows, and engineering decisions to support knowledge sharing About the Team Join our Data Engineering team, responsible for building scalable data pipelines across Change Data Capture, Entity Resolution, and Data Mastering The team focuses on delivering high-performance, enterprise-grade data solutions that support critical business applications You will work on large-scale data challenges, contribute to technical innovation, and support the development of engineering capability through mentoring and collaboration 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. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [How Unit Testing Saved My Career](https://www.wearedevelopers.com/videos/1642-how-unit-testing-saved-my-career) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From boy scouting to redrawing the landscape](https://www.wearedevelopers.com/videos/1140-from-boy-scouting-to-redrawing-the-landscape) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)