Data Engineer Consultant — Hybrid, Global Impact

Orange Business

Brussel Hoofdstad

Hybride

EUR 65 000 - 90 000

Plein temps

Il y a 13 jours
Générateur de candidature

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Avantages offerts par ce poste

Hybrid work Brussels
Yearly bonus
Housing budget

Résumé du poste

Orange Business seeks a Data Engineer to develop, model, test, and deploy data solutions across cloud platforms, enabling data-driven insights. You will work closely with business teams to design scalable data pipelines and dashboards, ensuring data quality and reliability in a hybrid work environment.

The role requires 3+ years in data engineering, strong SQL, and experience with Azure, AWS or Google Cloud.

Qualifications

  • Master's or bachelor’s degree in IT or related field.
  • At least 3 years’ experience as a Data Engineer.
  • Knowledge of Data Warehousing principles and Data Modelling (Data Vault, Star schemas, Slow Changing Dimensions).
  • Strong SQL knowledge.
  • Experience with one cloud provider: Azure, Google Cloud or AWS.

Responsabilités

  • Lead the way with analytical, data-driven approaches to support business cases.
  • Engage with clients and partners to design data pipelines and deliver insightful analytics while ensuring data integrity.
  • Use technical knowledge to implement effective solutions and automate components of client infrastructure.
  • Mentor and collaborate; opportunities to train in our Cloud and Data Academy or present topics during Lunch & Learn sessions.

Connaissances

Data analysis
Stakeholder communication
Explain complex concepts
Interpersonal communication
Collaboration
Multilingual communication

Formation

Master's or Bachelor's in IT

Outils

Azure
Google Cloud
AWS

Description du poste

Orange Business seeks a Data Engineer to develop, model, test, and deploy data solutions across cloud platforms, enabling data-driven insights. You will work closely with business teams to design scalable data pipelines and dashboards, ensuring data quality and reliability in a hybrid work environment.

The role requires 3+ years in data engineering, strong SQL, and experience with Azure, AWS or Google Cloud.

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