Data Engineer H/F/X

Description de l'entreprise

Kalytech is a talent enabler to source skilled candidates in the high tech eco-systems. We combine people networks, market knowledge, experience, sourcing tools and in-depth understanding of our customer needs to provide talents who will fit in and bring value into their new organization. Kalytech operates in a dynamic way with multiple business models to deliver value to our customers and get satisfied consultants: Staffing, Consultancy, Hiring, Project. As market understanding is critical to identify the right talent, Kalytech works per industry & per practice.

Description de la fonction

Location: Brussels, Belgium, 3 days/office
Work regime: full time
 
Our client is seeking a skilled Data Engineer with hands-on experience in Microsoft Fabric and DBT to design, build, and maintain scalable, analytics-ready data platforms. The ideal candidate is a collaborative team player who can also work independently to solve complex business use cases end to end.
Experience in the telecommunications industry, particularly exposure to RAN sharing environments, is a strong advantage.
 
Mission

• Design, build, document and maintain end-to-end data pipelines using Microsoft Fabric (Data Engineering, Data Factory, OneLake, Lakehouse, and Warehouses).
• Ingest data from a variety of sources including APIs, relational databases, files, SaaS platforms, and telecommunications network systems.
• Develop and manage ELT transformations using dbt, including reusable models, tests, documentation, and data lineage.
• Implement medallion architecture (Bronze, Silver, Gold) using Fabric and dbt best practices.
• Build robust, analytics-ready data models (facts, dimensions, marts) to support BI, operational reporting, and advanced analytics.
• Support telecommunications use cases, including network performance analysis, capacity tracking, cost allocation, and compliance reporting.
• Work with datasets related to RAN sharing, such as multi-operator performance metrics, shared asset utilization, and operator-level data segregation.
• Collaborate effectively within cross-functional teams while also owning and independently driving data solutions from problem definition through delivery.
• Implement CI/CD pipelines and Git-based version control for data solutions.
• Ensure strong data governance, security, and access control, particularly in shared or multi-tenant data environments.
• Document architecture, pipelines, and business logic clearly for long-term maintainability.

 
Specific Expertise
Strong hands-on experience with Microsoft Fabric, including:
o   Fabric Data Engineering
o   Lakehouse & Warehouse
o   OneLake
o   Data Pipelines / Data Factory
 
-       Proven experience using dbt for analytics engineering and transformation-layer development.
-       Advanced SQL skills for data transformation, modeling, and optimization.
-       Experience with Spark (PySpark preferred).
-       Solid understanding of ELT patterns, dimensional modeling, and data warehouse best practices.
-       Experience with Git and CI/CD in data projects.
 
Profile

• You have an bachelor or master degree in IT/data/computer science (or equivalent experience)
• Minimum experience: 3 years in Data engineering in a modern IT environment
• You are Analytical, proactive, and delivery-focused
• You are a team player
• You have excellent communication skills, and the ability to translate complex technical concepts to end user language.
• Comfortable working in agile, fast-paced environment
• Experience in a Telecom environment is certainly a big plus
• Experience with advanced analytics and/or AI is a plus as well

 
Languages
Good proficiency of English is a must, knowledge of Dutch or French is a plus.

Compétences linguistiques

• Anglais (atout)

  • Comprendre : Expérimenté - (C1)
  • Écrire : Expérimenté - (C1)
  • Lire : Expérimenté - (C1)
  • Parler : Expérimenté - (C1)

• Français (atout)

  • Comprendre : Expérimenté - (C1)
  • Écrire : Expérimenté - (C1)
  • Lire : Expérimenté - (C1)
  • Parler : Expérimenté - (C1)

• Néérlandais (atout)

  • Comprendre : Expérimenté - (C1)
  • Écrire : Expérimenté - (C1)
  • Lire : Expérimenté - (C1)
  • Parler : Expérimenté - (C1)

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