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.
Scroll down to find the complete details of the job offer, including experience required and associated duties and tasks.
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:
Fabric Data Engineering
Lakehouse & Warehouse
Onelake
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. xphnsxz
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.