Senior Data Engineer – Microsoft Fabric

• Design and develop robust, scalable, and monitorable data pipelines
• Implement data ingestion, transformation, integration, and delivery solutions
• Work with modern data architectures, including Data Lakes, Lakehouses, Data Warehouses, and Analytics platforms
• Develop solutions using Microsoft Fabric and/or AWS Databricks
• Apply Data Engineering principles regardless of the technology or platform
• Work in Microsoft Azure and AWS environments
• Contribute to decisions regarding data architecture, modeling, processing, quality, security, and governance
• Ensure the reliability, observability, performance, and maintainability of solutions
• Collaborate with BI, Data Science, Software Engineering, and business professionals
• Participate in and lead technical and alignment meetings with clients and stakeholders
• Identify opportunities for automation and the application of Artificial Intelligence
• Document solutions, technical decisions, processes, and best practices
• Take ownership of the planning, execution, and delivery of data products
• Work in a collaborative, dynamic, and delivery-oriented environment focused on high-impact data solutions

• Bachelor’s degree in Information Technology, Computer Engineering, Computer Science, Information Systems, or a related field
• Senior-level professional experience in Data Engineering
• Strong knowledge of data architecture, data modeling and storage, Batch and Streaming processing, data integration and transformation, Data Lakes, Lakehouses, and Data Warehouses
• Knowledge of data quality, governance, security, and lineage
• Knowledge of pipeline orchestration and monitoring
• Knowledge of development, testing, version control, and CI/CD
• Hands-on experience with Microsoft Fabric and/or AWS Databricks
• Ability to work across different platforms, understanding Data Engineering fundamentals regardless of the technology
• Proven experience in Microsoft Azure and AWS environments
• Experience using Artificial Intelligence in professional activities
• Ability to demonstrate concrete productivity gains achieved through AI
• Technical English proficiency for reading documentation, articles, and industry materials
• Availability to work full-time during business hours
• Availability to participate in virtual meetings with cameras on
• Knowledge of Apache Spark, SQL, and Python
• Experience with AWS data services such as Amazon S3, AWS Glue, Athena, Amazon EMR, Step Functions, and Lambda
• Knowledge of orchestration, messaging, observability, and continuous integration tools
• Experience with DataOps, DevOps, and Infrastructure as Code (IaC) practices
• Knowledge of Generative Artificial Intelligence and AI-assisted development tools
• Microsoft, Databricks, Azure, AWS, or Data Engineering certifications are desirable
• Previous experience at consulting firms or on projects for different clients and industries is desirable
• Clear and objective communication skills, with the ability to lead meetings, presentations, and technical discussions
• Ability to mediate conflicts and build consensus
• Strong organizational, time management, and prioritization skills
• Proactivity, delivery orientation, autonomy, and professional maturity

• Meal allowance or meal voucher
• Discounts on courses, universities, and language institutions
• Stefanini Academy — a platform offering free, up-to-date online courses with certificates
• Mentoring
• Discount club for medical consultations and examinations
• Health insurance
• Dental insurance
• Benefits and discount club offering deals at leading establishments
• Travel club
• Pet care benefits