Optimizing business performance through people, data, tech & analytics
Lead Data Engineer – Microsoft Fabric
Location
Uruguay
Posted
2 days ago
Salary
0
Seniority
Senior
Job Description
Lead Data Engineer – Microsoft Fabric
Blend360
• 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.
Job Requirements
- 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.
- English: Advanced (required for effective communication with global teams)
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!
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Lead Data Engineer – Microsoft Fabric
Blend360Optimizing business performance through people, data, tech & analytics
• 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.
Lead Data Engineer – Microsoft Fabric
Blend360Optimizing business performance through people, data, tech & analytics
• 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.
Lead Data Engineer – Microsoft Fabric
Blend360Optimizing business performance through people, data, tech & analytics
• 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.
Senior Data Engineer
iblueSomos especializados em resolver problemas complexos com Dados e IA no setor financeiro.
• Build, maintain and optimize data pipelines • Propose improvements and lead data modeling in partnership with business stakeholders • Work with a multidisciplinary team to drive business growth
