8 meilleures offres (data engineer, waterloo, wal) (à pourvoir)

Senior Data Engineer
Yechte —Bruxelles
- De 2 329,77 € à 5 496,09 € par mois
- Temps plein
- Azure
- Schémas
- SQL
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3 h
Data Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Informatique
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Touring —Bruxelles
- Azure
- SQL
- Compétences en communication
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Consultant Data & Analytics SAP - Datasphere / BDC l Belgium
Talan —Bruxelles
- Temps plein
- Informatique
- Azure
- Informatique
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Senior Data Science Analyst - OptimusAI
McKinsey & Company —Bruxelles
- Microsoft Powerpoint
- Informatique
- Microsoft Excel
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Artefact —Bruxelles
- Informatique
- Expérience en gestion d'équipe
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Wibit Consulting & Services (WibitCS) —Bruxelles
- Temps plein
- Azure
- Java
- Bases de données
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Sia —Bruxelles
- Temps plein
- Travail hybride
- Master
- Machine learning
- IT
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Senior Data Engineer

Yechte
Bruxelles

Postuler rapidement

Détails de l'emploi

Temps plein
De 2 329,77 € à 5 496,09 € par mois
Il y a 3 heures

Qualifications

Français
Power BI
Azure
Schémas
SQL
Compétences en communication

Description complète du poste

Overview

Data Engineer / Technical Lead acting as technical authority within data teams, ensuring standards, quality, and best practices. Leads code reviews, coaching, and collaboration with architects. Designs and optimises Azure-based data pipelines (Synapse, ADF, Databricks, PySpark, SQL), supports data modelling, improves performance, governance, and delivery excellence in complex environments.

Job Responsibilities

Serve as the technical authority for Data Engineers within a data team
Conduct pulls request validations, peer reviews, and ensure full compliance with data engineering standards
Provide coaching and guidance to junior Data Engineers
Contribute to the continuous improvement and maturity of data engineering practices within the organisation
Act as the single point of contact between Data Platform Architects and engineering teams
Translate architectural guidelines into actionable technical instructions for engineering teams
Recommend alternative technical solutions depending on the targeted DWH layer (ingestion, transformation, consumption...)
Participate in the definition, evolution, and continuous improvement of the data platform and the data engineering standards
Provide structured feedback from field experience to refine practices and tooling
Contribute to performance optimisation, data quality, and operational reliability

Must Have Skills

Demonstrate expert proficiency in Azure Synapse, Azure Data Factory (ADF), Mapping Data Flow (MDF), Databricks, PySpark, SQL
Ability to design, develop, and optimise data pipelines within the Azure ecosystem
Ability to support the data modeler to ensure robust, scalable, and well-modelled data structures, with strong expertise in dimensional modelling (star schema, DWH concepts).
Experience using Power BI and experience with semantic data modelling (preferred).
Natural leadership and ability to guide multiple teams.
Strong communication skills, both written and verbal, adapted to technical and non-technical audiences.
Pedagogical attitude with the ability to support learning and development.

Fluent in English and French.
Good level of Dutch (preferred).

Nice to have

Analytical mindset, structured approach, and high attention to detail.
High level of autonomy.
Demonstrate technical decision-making capabilities.

Pay: €2.329,77 - €5.496,09 per month

Work Location: In person

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