Lead Data Engineer

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

📋 Description

• Perform thorough gap analyses and data mapping across more than 80 ERP systems to uncover integration obstacles, data discrepancies, and transformation needs.

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

• Establish strong data quality frameworks and validation rules to guarantee data readiness for AI and analytics tasks.

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

• Design and enhance data models that facilitate seamless transition from fragmented ERP sources into a cohesive, AI-ready data architecture.

• Oversee the pilot implementation phase, testing and refining standards against actual ERP data prior to a full-scale launch.

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

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

• Address data inconsistencies and apply corrective actions to uphold 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 creation, and ETL orchestration.

• Proven experience in designing and implementing ETL solutions within intricate, multi-source environments.

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

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

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

• Experience in data quality evaluations, validation frameworks, and data profiling techniques.

• Exceptional problem-solving abilities focused on scalability, maintainability, and performance optimization.

• Excellent communication skills and the ability to collaborate effectively with technical and business stakeholders.

• Proficiency in English: Advanced (essential for effective communication with global teams).

🏝️ Benefits

• Daily lunches available at headquarters, featuring vegetarian, vegan, gluten-free, and sugar-free options.

• Enjoy gourmet meals every Friday prepared by our on-site chef!

• ⚖️ Flexible working arrangements to help you maintain a healthy work-life balance.

• 💻 All necessary equipment to unleash your potential (MacBook and accessories).

• 🍎 Snacks and drinks provided daily at headquarters.

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

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

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

• 🎾 Tennis courts available for casual matches.

• 🎮 Not into sports? No problem, we also host chess tournaments, game, and music nights for everyone to enjoy!

• 📚 Opportunities for learning: AWS Certifications (we are AWS Partners).

• Access to study plans, courses, and various other certifications.

• English language lessons available.

• Learn from your peers during our Tech Tuesdays!

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

• 🎁 Gifts for anniversaries and birthdays.

• 📍 A fantastic location with even more fantastic teammates!