Lead Data Engineer – Microsoft Fabric

This is a fully remote position, open to applicants in Uruguay.

📋 Description

• Perform an extensive gap analysis and data mapping across 80+ ERP systems to uncover integration issues, data discrepancies, and transformation needs.

• Create and implement standardized ETL pipelines and data transformation workflows for migrating enterprise data into Microsoft Fabric.

• Establish robust data quality frameworks and validation rules to guarantee data readiness for AI and analytical workloads.

• Spearhead the hands-on execution of ETL standards and best practices, establishing repeatable patterns and automation scripts for multi-source integrations.

• Design and refine data models that facilitate smooth transformation from disparate ERP sources into a cohesive, AI-ready data architecture.

• Oversee the pilot implementation phase, testing and fine-tuning standards with real ERP data prior to full-scale deployment.

• Mentor and support team members on ETL development, data transformation methodologies, and Fabric-specific engineering practices.

• Collaborate with stakeholders to document data lineage, transformation logic, and integration patterns for effective knowledge transfer and governance.

• Diagnose data inconsistencies and implement corrective actions to ensure data integrity throughout the pipeline.

⛳️ Requirements

• Advanced SQL skills for complex data transformations, query optimization, and performance enhancement.

• Strong proficiency in Python for automation scripting, data pipeline development, and ETL orchestration.

• Proven hands-on experience in designing and executing ETL solutions in complex, multi-source environments.

• Demonstrated experience with enterprise ERP systems and large-scale data integration scenarios.

• Solid understanding of the Azure ecosystem and practical experience with Microsoft Fabric for data engineering.

• Strong knowledge of data modeling concepts and the capability to design schemas that support AI and analytics applications.

• Experience in data quality assessment, validation frameworks, and data profiling methodologies.

• Excellent problem-solving abilities focusing on scalability, maintainability, and performance optimization.

• Strong communication skills with the capability to collaborate effectively with both technical and business stakeholders.

• Proficient in English: Advanced level required for effective communication with global teams.

🏝️ Benefits

• Daily lunches! (headquarters): Vegetarian, vegan, gluten-free, and sugar-free options available.

• Gourmet meals provided every Friday by our on-site chef!

• ⚖️ Flexible working arrangements to help you achieve the right work-life balance.

• 💻 All necessary equipment provided to maximize your talents (MacBook and accessories).

• 🍎 Snacks and beverages available daily (headquarters).

• 🎉 After-work events, including football, tennis, and game nights (headquarters).

• ⚽ Everyone is welcome to participate in our football league every Wednesday and Friday.

• 🎱 Challenge your colleagues to a pool game and compete for the office trophy!

• 🎾 Tennis courts available for friendly matches.

• 🎮 Not into sports? No worries, we also host chess championships, game nights, and music events for you to enjoy!

• 📚 Learning opportunities: AWS Certifications (we are AWS Partners). Comprehensive study plans, courses, and other certifications available. English lessons. Learn from teammates during our Tech Tuesdays!

• 🧭 Mentoring and development opportunities to help shape your career path.

• 🎁 Anniversary and birthday gifts to celebrate you.

• 📍 Prime location and even greater teammates!