Data Engineer

Moody's Corporation; Brussel Hoofdstad; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Moody’s Corporation is seeking a data engineering candidate to design, develop, and optimize scalable data pipelines. You will work with Spark-based processes, Delta Lake, Parquet, and graph analytics in a cloud environment (AWS preferred).

Strong SQL and testing practices are required, with collaboration across Product, Data Science, and Engineering teams. The role emphasizes building robust ETL workflows, data quality checks, and documentation while exploring AI-assisted development tools to

Qualifications

• Experience building scalable data applications with Spark and Scala preferred; Python acceptable.
• Hands-on Databricks experience in a cloud environment, AWS preferred.
• Strong understanding of distributed computing, data partitioning, and performance optimisation.
• Experience with Parquet, Delta Lake, and JSON data formats.
• Strong SQL skills for data transformation and querying.
• Knowledge of graph data structures, clustering, and similarity approaches.
• Familiarity with TF-IDF and similarity metrics.
• Proficiency with Git, Gradle, Maven, or SBT for builds.
• Awareness of code quality, testing (ScalaTest/JUnit), and testing approaches.
• Ability to use AI-assisted development tools and collaboration in cross-functional teams.

Responsabilités

• Support design, development, and optimisation of data pipelines in a scalable data engineering environment.
• Develop Spark-based data pipelines for large-scale data processing.
• Implement parsing, normalisation, and standardisation logic across datasets.
• Assist in graph-based analytics and entity resolution workflows.
• Build and maintain ETL workflows ingesting Delta Lake, Parquet, and S3 data.
• Contribute to data quality checks and incremental processing approaches.
• Write and maintain unit and integration tests to support reliability.
• Support monitoring and troubleshooting of data pipelines.
• Collaborate with Product, Data Science, and Engineering teams.
• Document data flows and technical solutions; participate in code reviews and best practices.

Connaissances

Spark

Scala

Python

Databricks

AWS

SQL

Graph analytics

TF-IDF

Testing

AI-assisted tools

Communication

Collaboration

Learning new tech

Formation

Bachelor’s or Master’s in CS/IT

Equivalent practical experience

Outils

Apache Spark

Databricks

Git

Gradle

Maven

SBT

ScalaTest

JUnit

Description du poste

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

Responsibilities

Support the design, development, and optimisation of data pipelines and data processing solutions within a scalable data engineering environment

• Support the design and development of Spark-based data pipelines for processing large volumes of data
• Implement parsing, normalisation, and standardisation logic across datasets
• Assist in developing graph-based analytics and entity resolution workflows
• Build and maintain ETL workflows ingesting data from sources such as Delta Lake, Parquet, and S3
• Contribute to data quality checks, validation, and incremental processing approaches
• Write and maintain unit and integration tests to support reliability
• Support monitoring and troubleshooting of data pipelines
• Collaborate with cross-functional teams including Product, Data Science, and Engineering
• Document data flows and technical solutions
• Participate in code reviews and contribute to engineering best practices

About The Team

Join our Data Engineering team, responsible for building scalable data pipelines across Change Data Capture, Entity Resolution, and Data Mastering

You will work on large-scale data challenges in a collaborative environment, contributing to high-quality data solutions and developing your technical capabilities. The team is embracing a more AI-enabled way of working, with a focus on automation, insight generation, and continuous innovation

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.

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.

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.