Lead Data Engineer (Microsoft Fabric)

What is this position about? Conduct comprehensive gap analysis and data mapping across 80+ ERP systems to identify integration challenges, data inconsistencies, and transformation requirements. Design and develop standardized ETL pipelines and data transformation processes for migrating enterprise data into Microsoft Fabric. Build robust data quality frameworks and validation rules to ensure data readiness for AI and analytics workloads. Lead hands-on implementation of ETL standards and best practices, establishing repeatable patterns and automation scripts for multi-source integrations. Develop and optimize data models that support seamless transformation from fragmented ERP sources into a unified, AI-ready data architecture. Lead the pilot implementation phase, testing and refining standards against real ERP data before full-scale rollout. Mentor and guide team members on ETL development, data transformation techniques, and Fabric-specific engineering practices. Collaborate with stakeholders to document data lineage, transformation logic, and integration patterns for knowledge transfer and governance. Troubleshoot data inconsistencies and implement corrective measures to maintain data integrity throughout the pipeline. Advanced proficiency in SQL for complex data transformations, query optimization, and performance tuning. Strong Python expertise for automation scripting, data pipeline development, and ETL orchestration. Demonstrated hands-on experience in designing and implementing ETL solutions across complex, multi-source environments. Proven experience with enterprise ERP systems and large-scale data integration scenarios. Solid understanding of Azure ecosystem and hands-on experience with Microsoft Fabric for data engineering. Strong knowledge of data modeling principles and ability to design schemas that support AI and analytics use cases. Experience with data quality assessment, validation frameworks, and data profiling techniques. Excellent problem-solving skills with a focus on scalability, maintainability, and performance optimization. Strong communication skills and ability to collaborate with technical and business stakeholders. What about languages? English: Advanced (required for effective communication with global teams) How much experience must I have? 5+ years of experience in Data Engineering with demonstrated expertise in data modeling and ETL development. Our Perks and Benefits: Every day lunches! (headquarters): Vegetarian, vegan, gluten and sugar free options. Gourmet meals every Friday with our on-site chef! ⚖️ Flexible working options to help you strike the right balance. 💻 All the equipment you need to harness your talent (Macbook and accessories). 🍎 Snacks and beverages available everyday (headquarters). 🎉 After office events, football, tennis and game nights (headquarters). ⚽ Everyone is welcome to join our football league every Wednesday's and Friday's. 🎱 Challenge your teammates to a pool game and win the office's trophy! 🎾 Tennis courts available for friendly matches. 🎮 Not a sports person? Don't worry, we also have chess championships, game and music nights for you to join! 📚 Learning opportunities: AWS Certifications (we are AWS Partners). Study plans, courses and other certifications. English Lessons. Learn from your teammates on our Tech Tuesdays! 🧭 Mentoring and Development opportunities to shape your career path. 🎁 Anniversary and birthday gifts. 📍 Great location and even greater teammates! So what are the next steps? Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we'll explore working together!