Microsoft Fabric Data Engineer

Job Title: Microsoft Fabric Data Engineer – Client Delivery

Location: Medellín, Colombia (El Poblado) – Onsite

Type of Contract: 6-Month Contract-to-Hire (via EOR) with potential conversion to full-time based on performance and business needs

Salary Range: Competitive / Market Rates (commensurate with experience)

Language Requirements: Professional English fluency (written and verbal) required for client-facing communication and collaboration with U.S.-based leadership.

We are seeking a skilled Microsoft Fabric Data Engineer with experience in SQL-to-Fabric migrations, data pipeline development, and cloud-based analytics environments to join our growing client delivery team. You will play a key role in modernizing client data platforms by building scalable Microsoft Fabric pipelines, transforming data, and ensuring reliable delivery of analytics-ready datasets. Your work will directly impact clients’ operational efficiency, reporting capabilities, and long-term data modernization initiatives.

Key Responsibilities

• Build and execute data migration pipelines from SQL Server and Azure SQL into Microsoft Fabric Lakehouses and Warehouses using Medallion Architecture (Bronze, Silver, Gold).
• Develop and maintain T-SQL and PySpark transformation logic for data cleansing, enrichment, validation, and optimization.
• Design and implement ingestion solutions using Fabric Data Factory, Fabric Pipelines, and Spark Notebooks with a focus on reliability and auditability.
• Perform schema mapping, data type reconciliation, row-count validation, and data quality checks throughout the migration lifecycle.
• Optimize Fabric workloads, Spark jobs, and query performance to ensure scalable and production-ready solutions.
• Collaborate with technical leads, DevOps engineers, report developers, and client stakeholders while participating in standups, reviews, and technical walkthroughs.
• Utilize Azure DevOps, Azure security best practices, GitHub Copilot, Azure AI Services, and other AI-assisted development tools to accelerate delivery and maintain platform standards.

Must-Have Qualifications

• 2–4 years of professional experience in Data Engineering within production or client delivery environments.
• Strong T-SQL expertise, including complex queries, joins, window functions, CTEs, stored procedures, and SQL Server/Azure SQL architecture.
• Hands-on experience with PySpark, DataFrames, distributed processing, and transformation development.
• Direct experience with Microsoft Fabric (professional, lab, or personal project experience that can be demonstrated).
• Understanding of Medallion Architecture and modern Lakehouse design principles.
• Strong data validation and reconciliation practices, including row counts, null handling, type validation, and quality assurance processes.
• Professional English communication skills and the ability to work effectively within structured delivery teams.
• Active use of AI tools such as GitHub Copilot, Azure AI Services, or LLM-assisted workflows to improve productivity and delivery outcomes.

Preferred Qualifications

• Experience with Azure Data Factory (ADF), including pipelines, triggers, linked services, and data flows.
• Experience using Azure DevOps (ADO) for source control, deployment automation, and release management.
• Background in data migration or modernization projects involving legacy-to-cloud transformations.
• Familiarity with retail, consumer products, specialty retail, or CPG data environments.
• Experience working within consulting, MSP, agency, or multi-client delivery organizations.
• Python scripting experience beyond PySpark for automation and data profiling.
• Microsoft certifications such as DP-203 (Data Engineering on Azure) or DP-600 (Fabric Analytics Engineer).
• Knowledge of data governance, PII handling, SOC 2, PCI-DSS, access controls, and compliance-related practices.