Senior Data Quality Engineer - Databricks & AI Testing

PassFort; Brussel Hoofdstad; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Moody's is seeking a Data Quality Engineer to validate enterprise data platforms built on Databricks. You will own end-to-end validation across Bronze, Silver, and Gold layers to ensure data integrity and business rule compliance.

The role emphasizes automated testing with Python and PySpark, data transformations, and source-to-target mappings. You will collaborate with engineering, platform, product, and business stakeholders to improve testing standards and quality.

Qualifications

• Experience validating data solutions on Databricks.
• Strong SQL, Python, and PySpark with automated testing experience.
• Knowledge of data quality principles and data pipelines.

Responsabilités

• Own end-to-end validation of data pipelines across Bronze, Silver, and Gold layers.
• Develop scalable automated testing frameworks using Python and PySpark.
• Validate data transformations and source-to-target mappings across complex datasets.
• Monitor testing progress and report quality metrics.
• Collaborate with engineering, product, and business stakeholders.

Connaissances

SQL

Python

PySpark

Data quality principles

Agile

Stakeholder management

AI concepts

Formation

Bachelor's degree in Computer Science/Engineering/Data Science

Certifications in testing/cloud/data engineering preferred

Outils

Databricks

Delta Lake

Jira

Xray

Notebooks

Description du poste

Moody's is seeking a Data Quality Engineer to validate enterprise data platforms built on Databricks. You will own end-to-end validation across Bronze, Silver, and Gold layers to ensure data integrity and business rule compliance.

The role emphasizes automated testing with Python and PySpark, data transformations, and source-to-target mappings. You will collaborate with engineering, platform, product, and business stakeholders to improve testing standards and quality.