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Ingénieur de bases de données (H/F/X)
Cliniques Universitaires Saint-Luc —Bruxelles
Expérience démontrée dans l'administration de bases de données. Installer, configurer et maintenir les systèmes de gestion de bases de données (SGBD), tels que…

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data engineer (anderlecht, bru)

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Data Engineer Expert Consultant

Keystone Solutions
Bruxelles

Soumettre votre candidature

Détails de l'emploi

Il y a 12 heures

Qualifications

Français
Doctorat
Master
Néerlandais

Description complète du poste

Mission Overview:

This is a consultancy mission for a Data Engineer Expert at a client site, representing Keystone Solutions. As a Keystone Solutions consultant, you will be hired by Keystone Solutions to work on client projects, delivering value and expertise in dynamic environments.

Mission Context:

The Data Engineer is a key contributor in preparing and making data available in a safe and secure manner for multiple usages by businesses and functions, including reporting, analytics, and applications. You will deliver well-designed and running data assets for global or local usage, supporting productivity for all data consumers.

Responsibilities:

Collect business requirements through various requirements techniques.
Translate requirements into efficient data solutions by designing data flows, data models, data stores/data sets, mapping rules, and access mechanisms.
Analyze the best sources of data and define business and technical rules for integration.
Prototype solutions to support business validation.
Design and develop logical and physical data models and data stores, and industrialize the feeding and deliveries from integrated data stores (data warehouse, data marts, data sets).
Streamline data pipelines across the enterprise for maximum usage throughout the company or business/function.

All these responsibilities will be carried out under Keystone Solutions’ consultancy model, ensuring you bring expertise and adaptability to every client engagement.

Language Requirements:

Dutch: knowledge is a plus
French: knowledge is a plus
English: fluent

Education:

At least a Master’s degree in a quantitative discipline such as statistics, mathematics, or engineering (a PhD is considered an advantage).
Candidates with other academic backgrounds with substantial knowledge of analytics are also encouraged to apply.

Required Experience / Knowledge:

At least 6 years of relevant experience in Data Analytics.

Technical Experience:

Mandatory: Modelisation, PowerDesigner
Preferable: Data Vault modelisation

Soft Skills:

Team player
Quick self-starter, pro-active attitude
Good communication and influencing skills
Good analytical and synthesis skills
Autonomy, commitment, and perseverance
Ability to work in a dynamic and multi-cultural environment

Work Location & Telework:

Based in Brussels, with an expectation of 50% on-site and 50% homeworking.

Why Join Keystone Solutions?

Consultancy Nature: Embrace your identity as a consultant, working on-site and representing Keystone Solutions in every engagement.
Dynamic Projects: Experience a wide variety of challenges across different client environments, ensuring no two missions are ever the same.
Turbo-Charged Learning: Accelerate your professional development and broaden your expertise through exposure to diverse projects and technologies.
Skyrocketing Ambition: Grow your career within a framework that values ambition and supports your upward trajectory.
K-Stone Values: As a K-Stone, you bring our core values to every client, making a real impact in every mission.

If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today .

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