11 meilleures offres (data engineer bi) (à pourvoir)

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ENGIE —Bruxelles
- Microsoft Excel
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il y a 14 jours
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- Temps plein
- Azure
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- Bases de données
Postuler rapidement
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Tractebel —Bruxelles
- Temps plein
- Microsoft Excel
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il y a 14 jours
Decision Intelligence Solution Architect
Deloitte —Zaventem
- Temps partiel
- Azure
- DevOps
- Java
Financial Controller
Safran —Zaventem
- Temps plein
- Microsoft Excel
- Finance
- Master
- Participation aux bénéfices
- Carte essence
Data Engineer
Keyteo —Belgique
- Microsoft Access
- Informatique
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DATA ENGINEER (H/F)
Arial Industries —Belgique
- De 38 000 € à 45 000 € par an
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Yechte Consulting —Belgique
- Azure
- Schémas
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il y a 12 jours
Product Owner Data
Telenet —Belgique
- Temps plein
- Télétravail
- Gestion de produit
- Agile
Product Engineering Lead
Yechte Consulting —Belgique
- Oracle
- DevOps
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Enterprise Architect - Information Management

Atlas Copco Group -
Anvers

Soumettre votre candidature

Détails de l'emploi

Qualifications

Informatique
Modélisation des données
Azure
Informatique
Management
Architecture d'entreprise
Master
AWS
Virtualisation
APIs
ETL
Data science
Production
Intelligence artificielle
Graph databases
Data warehouse

Description complète du poste

Enterprise Architect – Information Management

The role

The Enterprise Architect - Information Management plays a key role in enterprise-wide data and information architecture, ensuring that the cross-business area organization’s data landscape is coherent, secure, high quality and usable for advanced analytics and AI adoption. This role contributes to and evolves the long ‑ term data strategy, drives architectural standards, and ensures that data becomes a strategic asset powering business value, automation, and AI enabled decision making. In alignment with Atlas Copco’s decentralized operating model, this role focuses on building collaborative relationships and delivering results through partnerships.

What you can expect from us

A friendly, family-like atmosphere with opportunities to develop and grow
A culture known for respectful interaction, ethical behavior and integrity
An organization that uses diversity as a driver for performance
Potential to see your ideas realized and make an impact
New challenges and new things to learn every day

What we can expect from you

Roles & Responsibilities

Develop and maintain the enterprise data architecture blueprint, covering different data domains, data products, flows, integrations, and lifecycle management.
Enable the creation of information architecture standards, metadata, taxonomy, ontology, and master data structures.
Facilitate consistency of data models across applications, platforms, and business units.
Stimulate the design of data APIs, data products, and integration patterns.
Foster implementation of data governance frameworks, including ownership clarity, stewardship, and data quality processes.
Design for architecture that enables AI/ML, including feature stores, vector databases, model registries, and ML-Ops pipelines.
Drive discussions cross the business areas to ensure data availability, quality, and governance.
Promote ethical, transparent, and responsible data and AI practices.
Support and drive modernization initiatives such as instrumentation, data platform consolidation, and legacy system rationalization.
Conduct architectural assessments, gap analyses, and technology evaluations for data use cases.
Contribute architectural guidance and oversight for programs and investments in information management.
Work closely with business-IT leaders to translate strategic needs into data and AI capabilities.
Partner with data engineers, data scientists, product teams, and IT operations to ensure successful delivery.
Facilitate information management topics in architectural advisory boards and decision-making forums.
Support innovation initiatives, proofs of concept, and emerging technology exploration.
Develop a comprehensive view of the Group IT data landscape by identifying core data objects, analyzing their usage across systems and business areas, and establishing transparency on ownership and consumption.

Experience

Relevant experience in information architecture, enterprise architecture, or data management roles.
Master’s degree in computer science, information Systems, Data Science, or equivalent experience.
Proven experience designing enterprise scale data platforms.
Strong background in data modeling, integration patterns, and API driven architectures.
Strong understanding of ETL/ELT, data pipelines, streaming technologies, and event driven architectures.
Experience with AI/ML platforms, ML-Ops, and analytics ecosystems.
Knowledge of data governance tools, metadata management, and data cataloging.
Effective conceptualization and design-thinking skills.
Ability to present to management stakeholders and other business domains.
Data-modeling and information classification at the enterprise level.
Understanding of metamodels, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources.
Knowledge of data architectures, data ingestion techniques, data storage, MDM, BI, and data warehouse design and implementation techniques.
Knowledge of problem analysis, structured analysis and design, and programming techniques.
Ability to analyze project, program and portfolio needs, as well as to determine the resources needed to achieve objectives and overcome cross-functional barriers.
Proficiency with enterprise architecture tools (e.g. LeanIX is considered a plus).
Certifications such as TOGAF, DAMA CDMP, Azure/AWS Architect, or ITIL are a plus.
Experience with Master Data Management (MDM) and data virtualization.
Exposure to knowledge graphs, semantic modeling, or vector search.
Experience in regulated industries (finance, manufacturing, healthcare, public sector).

Key Behaviors and Competencies

Exhibit strong collaboration skills and maintain an objective approach toward all technologies and vendors.
Strong communication and stakeholder management skills.
Ability to translate complex technical concepts into business relevant language.
Strategic thinking with the ability to build alignment and influence across different levels of the organization.
Comfortable leading cross functional teams and driving organizational change.
Communicate and work well with others, clearly explaining how information architecture impacts business results to non-technical stakeholders.

What success looks like

A coherent, scalable, and secure enterprise data landscape.
Clear architectural standards, adopted across teams.
High quality, trusted data available for analytics and AI.
AI initiatives delivered faster thanks to strong data foundations.
Business stakeholders empowered with reliable insights and automation

Work Arrangements

This position is part of the global Enterprise Architecture team and involves close collaboration with a diverse set of stakeholders across data, applications, and analytics domains spanning functions such as HR, Finance, and IT. Occasional travel may be required based on business needs.

Country and city

Kontich, Belgium

Recruiting Manager

David Bellens

Human Resources

Sofie Appelmans

Passionate people create exceptional things
At Atlas Copco we believe in challenging the status quo, always looking for a better way. Our caring culture and leading-edge technology enable us to innovate for a sustainable future. With us, you become part of a global community of passionate people making a tangible impact on people’s lives. We offer a wide range of interesting job roles and many opportunities to grow. This is where it begins – join us at the Home of Industrial Ideas.

Company: Atlas Copco Group

Functional area:

Information Technology

Location:

Belgium

City:

Antwerp

On-site/remote:

Hybrid

Brand:

Atlas Copco

Company Name:

Atlas Copco Support Services NV

Date of Posting:

June 10, 2026

Last day to apply:

December 31, 2026

Apply for this position

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data engineer bi

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