Data Engineer (Fabric)

We are one of the largest professional services firms in our country and globally, committed to sustainability. We have a presence in more than 166 countries and more than 119,000 professionals across audit, tax, outsourcing, and consulting services. We continue to grow — therefore, BDO in Colombia is currently looking for the following profile.

We are seeking a highly skilled Data Engineer with deep expertise in Microsoft Fabric to join our data and analytics team. This role will be pivotal in designing, building, and optimizing enterprise-scale data solutions that power advanced analytics, reporting, and AI-driven insights. The ideal candidate is a hands-on technologist with a strong background in modern data platforms, cloud-native architectures, and data engineering best practices.

Key Responsibilities

• Architect and implement end-to-end data pipelines using Microsoft Fabric and Snowflake, including ingestion, transformation, and storage layers.
• Design and optimize data models for analytics, BI, and machine learning workloads.
• Collaborate with stakeholders across business units to understand data needs and deliver scalable solutions.
• Ensure data quality, governance, and security across all data assets in Fabric and Snowflake.
• Integrate Fabric with other Microsoft ecosystem tools (Power BI, Azure Synapse, Azure Data Lake, etc.) to deliver unified analytics experiences.
• Mentor junior engineers and contribute to establishing best practices in data engineering.
• Monitor and troubleshoot data pipelines, ensuring high availability and performance.
• Stay current with emerging trends in cloud data engineering, Microsoft Fabric, and Snowflake capabilities.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 5+ years of experience in data engineering, with at least 2+ years of hands-on expertise in Microsoft Fabric.
• Strong proficiency in SQL, Python, and Spark for data processing.
• Experience with data modeling, ETL/ELT processes, and distributed data systems.
• Deep understanding of cloud-native architectures and Microsoft Azure ecosystem.
• Proven ability to design and manage large-scale data warehouses and data lakes.
• Familiarity with DevOps practices (CI/CD, version control, automation).
• English proficiency at B2 level or higher, with strong communication skills to effectively collaborate with global teams.
• Excellent problem-solving and collaboration abilities.