Data Engineer

We are 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