? Tonic3 is hiring: Data Engineer — Microsoft Fabric & Data Pipelines
? Part-time | Hourly engagement
? Strong written and spoken English required

At Tonic3, we’re looking for a skilled Data Engineer with strong expertise in the Microsoft ecosystem to support client proposals and enterprise project execution.

You’ll design, build, and optimize automated data pipelines, extracting data from multiple enterprise sources, developing validation and transformation scripts, and implementing a Medallion Architecture with Bronze, Silver, and Gold layers.
Working with Microsoft Azure and Microsoft Fabric, you’ll create reliable datasets for enterprise analytics and dashboards built in Microsoft Power BI directly on top of Microsoft Fabric.

What you’ll do:
• Data Pipeline Architecture & Engineering: Design, build, and deploy scalable ETL/ELT pipelines to extract data from operational systems, REST APIs, databases, and flat files into the cloud environment.
• Medallion Architecture Implementation: Establish and maintain a Data Lake/Lakehouse framework with Bronze (raw intake),



Silver (cleansed and validated), and Gold (business-ready, aggregated) storage layers.
• Scripting, Transformation & Validation: Develop and execute automated scripts using Python, PySpark, and SQL to validate schema compliance, enforce data quality rules, and resolve inconsistencies.
• Target Data Loading & Data Modeling: Stage and structure target data repositories to optimize query performance, data modeling, and direct integration with Microsoft Power BI.
• Microsoft Platform Integration: Use Microsoft Fabric, Data Factory, Synapse Analytics, and Azure Data Lake Storage to orchestrate workflows and monitor data processing pipelines.
• Cross-Functional Collaboration: Work closely with Solution Architects, Project Managers, and BI Analysts to align deliverables with client reporting and business logic requirements.

What we’re looking for:
• Strong written and spoken English to collaborate with clien

📌 Data Engineer — Microsoft Fabric (Argentina)
🏢 Tonic3
📍 Argentina