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What you’ll work on

Design, develop, maintain, and enhance SQL and Python solutions to identify duplicate entities, missing relationships, and data quality issues
Collaborate closely with IT professionals and developers to ensure the accurate execution of requirements and to validate the integration of new solutions.
Monitor and verify the outcomes of implemented solutions, ensuring they meet the predefined criteria and do not adversely affect existing data quality.

From the employer’s posting

This role supports entity resolution and data quality initiatives across Moody’s relationship data platforms by developing SQL and Python-based solutions to identify duplicate entities, missing relationships, and data quality issues within ownership datasets. Design, develop, maintain, and enhance SQL and Python solutions to identify duplicate entities, missing relationships, and data quality issues Extract and interpret trends from data analysis, translating these insights into clear requirements for the software development team to implement.

Extract and interpret trends from data analysis, translating these insights into clear requirements for the software development team to implement. Collaborate closely with IT professionals and developers to ensure the accurate execution of requirements and to validate the integration of new solutions. Monitor and verify the outcomes of implemented solutions, ensuring they meet the predefined criteria and do not adversely affect existing data quality.

Collaborate closely with IT professionals and developers to ensure the accurate execution of requirements and to validate the integration of new solutions. Monitor and verify the outcomes of implemented solutions, ensuring they meet the predefined criteria and do not adversely affect existing data quality. Continually assess and refine the entity resolution process to enhance data quality, accuracy, and efficiency.

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Tools in this posting

python
sql
databricks

Source

- Ability to work independently while collaborating effectively with internal and external stakeholders - Proficiency in SQL, Python and Microsoft Office applications - Knowledge of Databricks or Power BI is considered an asset.

- Proficiency in SQL, Python and Microsoft Office applications - Knowledge of Databricks or Power BI is considered an asset. - Professional fluency in English and strong proficiency in French, both written and spoken. Knowledge of Dutch is considered an asset.

Responsibilities This role supports entity resolution and data quality initiatives across Moody’s relationship data platforms by developing SQL and Python-based solutions to identify duplicate entities, missing relationships, and data quality issues within ownership datasets. - Design, develop, maintain, and enhance SQL and Python solutions to identify duplicate entities, missing relationships, and data quality issues

This role supports entity resolution and data quality initiatives across Moody’s relationship data platforms by developing SQL and Python-based solutions to identify duplicate entities, missing relationships, and data quality issues within ownership datasets. - Design, develop, maintain, and enhance SQL and Python solutions to identify duplicate entities, missing relationships, and data quality issues - Extract and interpret trends from data analysis, translating these insights into clear requirements for the software development team to implement.

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Location & working pattern

Brussels, Brussels Capital

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Open source at careers.moodys.com ↗Read the full description ↓

Posting history

Status in our records: Active
First seen by us: Sep 7, 2026
Recorded sightings: 6
Last seen by us: Sep 8, 2026

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Education & alternatives

Education - Bachelor's degree (Bachelor Universitaire/Hogeschool) or Master's degree in Economics, Finance, Statistics, Data Analytics, Computer Science or related discipline - Equivalent experience and qualifications will also be considered

Job description

Skills and Competencies 

Strong ability to interpret, analyze, and validate complex ownership and entity relationship data 
High attention to detail with a strong commitment to data accuracy, integrity, and quality control 
Effective written and verbal communication skills, with the ability to respond clearly to client enquiries 
Strong organizational and time‑management skills, with the ability to manage multiple priorities in a fast‑paced environment 
Problem‑solving mindset with a proactive approach to process improvement and operational efficiency 
Ability to work independently while collaborating effectively with internal and external stakeholders 
Proficiency in SQL, Python and Microsoft Office applications 
Knowledge of Databricks or Power BI is considered an asset. 
Professional fluency in English and strong proficiency in French, both written and spoken. Knowledge of Dutch is considered an asset.
Interest in emerging technologies and willingness to learn how AI-enabled tools can enhance data quality and operational efficiency

Education

Bachelor's degree (Bachelor Universitaire/Hogeschool) or Master's degree in Economics, Finance, Statistics, Data Analytics, Computer Science or related discipline
Equivalent experience and qualifications will also be considered
Entry-level candidates are welcome to apply

Responsibilities

This role supports entity resolution and data quality initiatives across Moody’s relationship data platforms by developing SQL and Python-based solutions to identify duplicate entities, missing relationships, and data quality issues within ownership datasets.

Design, develop, maintain, and enhance SQL and Python solutions to identify duplicate entities, missing relationships, and data quality issues 
Extract and interpret trends from data analysis, translating these insights into clear requirements for the software development team to implement. 
Collaborate closely with IT professionals and developers to ensure the accurate execution of requirements and to validate the integration of new solutions. 
Monitor and verify the outcomes of implemented solutions, ensuring they meet the predefined criteria and do not adversely affect existing data quality. 
Continually assess and refine the entity resolution process to enhance data quality, accuracy, and efficiency.
Stay abreast of the latest trends and advancements in data analysis and entity resolution techniques.

About theTeam 
 
The team is responsible for delivering high‑quality ownership and entity relationship data to a global client base. Working at the intersection of data, research, and client support, the team plays a critical role in ensuring transparency, accuracy, and trust in complex ownership structures while continuously improving data coverage and processes. 