19 beste vacatures voor de functie van data engineer (m/v/x) in hal (nieuwe medewerkers gezocht)

QA Engineer - Data Platforms (Databricks)
Moody's —Brussel
- Computerwetenschappen
- Informatica
- SQL
BE - Data Engineer
Collaboration Betters the World —Brussel
- Voltijds
- Computerwetenschappen
- Informatica
- SQL
Data Engineer (m/w/d) with focus on data migration
Everience Benelux —Brussel
- Voltijds
- Databases
- SQL
Snel solliciteren
Data engineer (VDAB)
Vlaanderen Connect. —Brussel
- € 3.920 - € 5.300 per maand
- Voltijds
- SQL
- Bachelor
- JavaScript
- Thuiswerkopties
- Pensioensparen
Consultant Data Engineer - Google Cloud (GCP)
Sia —Brussel
- Voltijds
- Hybride werken
- Azure
- DevOps
- Master
Snel solliciteren
11 dagen
Expert Fraud Data Scientist Consultant
Keystone Solutions —Brussel
- Computerwetenschappen
- Doctoraat
- Java
Senior Data Integrator
Expleo —Brussel
- Computerwetenschappen
- Azure
- Informatica
Microsoft Business Intelligence Expert - MS Fabric
Devoteam Belgium —Machelen
- Voltijds
- Hybride werken
- Azure
- Engels
- SQL
Snel solliciteren
Data Analytics Engineer
Elmos —Brussel
- Azure
- SQL
10 dagen
AI & Data Engineer
iO —Brussel
- Hybride werken
- Azure
- Master
- SQL
Belgium (Banking / Dutch): Data Engineer - Expert (REF18)
Trusted Advisors —Brussel
- Doctoraat
- Master
Data Engineer
Solidaris Vlaanderen —Brussel
- Vanaf € 3.691,70 per maand
- Voltijds
- Azure
- Engels
- Master
- Thuiswerkopties
- Pensioensparen
BE - Data Scientist
Collaboration Betters the World —Brussel
- Voltijds
- Machine learning
- Artificiële intelligentie
Belgium : Data Engineer - Freelance (REF18)
Trusted Advisors —Brussel
- Doctoraat
- Master
BE - Data Scientist
Positive Thinking Company —Brussel
- Voltijds
- Machine learning
- Artificiële intelligentie
Functional Data Engineer - HQ Brussel
BNP Paribas Fortis —Brussel
Senior Data Scientist – MMM Expert
Artefact —Brussel
- Computerwetenschappen
- Master
- SQL
Senior Data Scientist - GenAI
Artefact —Brussel
- Computerwetenschappen
- Management
- Doctoraat
Data Engineer - GenAI
Artefact —Brussel
- Computerwetenschappen
- Azure
- Engels

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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 on cloud-based data platforms, including workflows/jobs orchestration and Delta/Lakehouse-style architectures; experience with Databricks specifically is preferred but not required
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 (m/v/x) vacatures in hal

QA Engineer - Data Platforms (Databricks)

BE - Data Engineer

Data Engineer (m/w/d) with focus on data migration

Data engineer (VDAB)

Consultant Data Engineer - Google Cloud (GCP)

Expert Fraud Data Scientist Consultant

Senior Data Integrator

Microsoft Business Intelligence Expert - MS Fabric

Data Analytics Engineer

AI & Data Engineer

Belgium (Banking / Dutch): Data Engineer - Expert (REF18)

Data Engineer

BE - Data Scientist

Belgium : Data Engineer - Freelance (REF18)

BE - Data Scientist

Functional Data Engineer - HQ Brussel

Senior Data Scientist – MMM Expert

Senior Data Scientist - GenAI

Data Engineer - GenAI

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