At Kin Analytics, we believe that the true value of data lies in the stories we tell with it. Every data point holds a story waiting to be discovered and shared. As a data analytics consultancy, our mission is to deliver impactful, game-changing solutions that power the world’s decision-making. We turn data into knowledge-driven stories through collective intelligence and collaboration.

Our talent synergies make us unique and help us build an awesome place to work. The adecuado candidate’s favorite words are efficiency, automation, and scale. We're looking for an experienced Senior Data Engineer to join Kin Analytics on a 5-month project, leading the design, implementation, and governance of a modern enterprise data platform on Microsoft Fabric. This role blends hands-on data engineering with architectural ownership — defining how data is modeled, integrated, governed, and made trustworthy to support analytics and AI-driven decision-making across the business.

Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field




- 5+ years of experience in Data Engineering and Data Architecture roles
- 1+ years of experience with Microsoft Azure data technologies
- Hands-on experience with Microsoft Fabric, including Data Factory, Lakehouse, Data Warehouse, OneLake, Real-Time Intelligence, Semantic Models, and Power BI integration
- Strong knowledge of ETL/ELT frameworks and data integration methodologies
- Extensive experience with SQL and data modeling techniques
- Experience implementing enterprise data governance and data quality frameworks
- Solid understanding of metadata management, lineage, cataloging, and master data management (MDM)
- Experience with Python, Spark, PySpark, and distributed data processing frameworks
- Experience with Agile delivery methodologies

Nice to Have
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-700)
- Microsoft Certified: Azure Data Engineer Associate (DP-203)
- Experience with

📌 Senior Data Engineer (Lima)
🏢 Kin Analytics
📍 Lima