20 beste vacatures voor de functie van data engineer in brussels, bru (nieuwe medewerkers gezocht)

QA Engineer - Data Platforms (Databricks)
Moody's —Brussel
- Computerwetenschappen
- Informatica
- SQL
Data Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Informatica
- Azure
- Informatica
Data Scientist (near-site, Brussels) - MAIA
The White Team —Brussel
- € 570 per dag
- Hybride werken
- Azure
- Oracle
- Databases
Data Engineer | Financial Sector
Capgemini Sogeti —Diegem
- Azure
- Oracle
Data Scientist - McKinsey Transformation
McKinsey & Company —Brussel
- Computerwetenschappen
- Doctoraat
- Informatica
Data/AI Engineer - Data Platform & Analytics
SquareDev —Brussel
- Voltijds
- Hybride werken
- Azure
- DevOps
- Databases
Snel solliciteren
4 dagen
Senior Data/ML Engineer (all genders)
Brussels Airlines SA/NV —Machelen
- Voltijds
- ERP systemen
- Engels
- Bachelor
Senior Data Engineer I - McKinsey Transformatics
McKinsey & Company —Brussel
- Computerwetenschappen
- Informatica
- DevOps
Intelligence DevOps Engineer (F/M/X)
EGOV Select —Evere
- Voltijds
- Tweetalig
- Doctoraat
- Informatica
Data Engineer (V/M/X)
NBB —Brussel
- SQL
- Python
- Thuiswerkopties
- Pensioensparen
Data engineer (VDAB)
Vlaanderen Connect. —Brussel
- € 3.920 - € 5.300 per maand
- Voltijds
- SQL
- Bachelor
- JavaScript
- Thuiswerkopties
- Pensioensparen
Backend Engineer
Vector Synergy —Eigenbrakel
- Databases
- SQL
- Softwareontwikkeling
Snel solliciteren
Google Senior Data Engineer
Devoteam G Cloud Belgium —Machelen
- Voltijds
- Hybride werken
- Azure
- Engels
- Java
- Tankkaart
Snel solliciteren
Ingénieur de bases de données (H/F/X)
Cliniques Universitaires Saint-Luc —Brussel
- Waakdienst
- Computerwetenschappen
- Oracle
- Informatica
Consultant Data & Analytics SAP - Datasphere / BDC l Belgium
Talan —Brussel
- Voltijds
- Computerwetenschappen
- Azure
- Informatica
Snel solliciteren
Data Engineer Consultant
Acumen Consulting —Leuven
- Master
- Artificiële intelligentie
Senior Data Scientist - GenAI
Artefact —Brussel
- Computerwetenschappen
- Management
- Doctoraat
Data Engineer - West-Vlaanderen
Customer Collective —Brussel
- Hybride werken
- SQL
- Analytisch vermogen
- Artificiële intelligentie
5 dagen
Senior Consultant in Data science
Sia —Brussel
- Voltijds
- Hybride werken
- Master
- Machine learning
- ICT
Snel solliciteren
Forward Deployed Engineer
Spektrum —Brussel
- Maandag t/m vrijdag
- Computerwetenschappen
- Informatica
- Java
Snel solliciteren
5 dagen

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QA Engineer - Data Platforms (Databricks)

Moody's -
Brussel

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Vacaturegegevens

Kwalificaties

Jira
Computerwetenschappen
Informatica
Test management tools
SQL
Kwaliteitsborging
Bachelor
Agile
Artificiële intelligentie
Python

Volledige vacaturetekst

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 Competencies

5+ years of experience in Software Quality Assurance, Data Quality Engineering, or testing enterprise-scale data platforms
Hands-on experience validating data solutions built on Databricks, including workflows, notebooks, jobs, and Delta Lake
Strong proficiency in SQL, Python, and PySpark with experience developing automated testing and data validation frameworks
Experience testing large-scale batch data pipelines, data transformations, reconciliation processes, and source-to-target integrations
Strong understanding of data quality principles, including completeness, accuracy, consistency, timeliness, and business rule validation
Experience with Agile delivery methodologies and test management tools such as Jira and Xray
Excellent analytical, problem-solving, communication, and stakeholder management skills
Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to leverage AI-powered solutions to improve testing effectiveness while maintaining awareness of responsible and ethical AI practices

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related technical discipline
Relevant testing, cloud, or data engineering certifications are preferred

Responsibilities

Ensure the quality, accuracy, and reliability of enterprise data platforms and batch processing pipelines built on Databricks.
Own end-to-end validation of data pipelines across Bronze, Silver, and Gold data layers to ensure data integrity and business rule compliance
Design, develop, and maintain scalable automated testing frameworks using Python and PySpark to improve efficiency, coverage, and reliability
Validate data transformations, schema changes, reconciliation processes, and source-to-target mappings across complex datasets
Execute integration, regression, end-to-end, and data quality testing for data products, workflows, and scheduled processing jobs
Define and maintain testing strategies, test cases, test data, execution results, and release validation documentation
Partner closely with engineering, platform, product, and business stakeholders to identify quality risks and ensure successful delivery outcomes
Monitor, track, and communicate testing progress, quality metrics, defects, and release readiness using established governance processes
Contribute to continuous improvement initiatives by identifying opportunities to enhance automation, testing standards, and quality engineering practices

About the Team

Our Data Engineering and Analytics team is responsible for delivering scalable, reliable, and high-quality data platforms that power critical business insights and decision-making across Moody's. The team partners closely with technology, product, and business stakeholders to build modern cloud-based data solutions, improve data governance and quality standards, and enable trusted analytics at scale. By joining our team, you will work with advanced data technologies, including Databricks and cloud-native platforms, while contributing to the adoption of AI-enabled solutions that improve operational efficiency, innovation, and data-driven decision making across the organization.

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.

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data engineer vacatures in brussels, bru

QA Engineer - Data Platforms (Databricks)

Data Engineer - QuantumBlack, AI by McKinsey

Data Scientist (near-site, Brussels) - MAIA

Data Engineer | Financial Sector

Data Scientist - McKinsey Transformation

Data/AI Engineer - Data Platform & Analytics

Senior Data/ML Engineer (all genders)

Senior Data Engineer I - McKinsey Transformatics

Intelligence DevOps Engineer (F/M/X)

Data Engineer (V/M/X)

Data engineer (VDAB)

Backend Engineer

Google Senior Data Engineer

Ingénieur de bases de données (H/F/X)

Consultant Data & Analytics SAP - Datasphere / BDC l Belgium

Data Engineer Consultant

Senior Data Scientist - GenAI

Data Engineer - West-Vlaanderen

Senior Consultant in Data science

Forward Deployed Engineer

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data engineer in brussels, bru

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