We are looking for a Senior Data Engineer to join an exciting Unified Data Platform initiative supporting enterprise-wide data interoperability, advanced analytics, and AI capabilities within the healthcare industry.
You'll play a key role in designing and building scalable cloud-based data solutions, modernizing data platforms, and enabling seamless integration across enterprise systems.
Design, develop, and maintain scalable ETL/ELT data pipelines.
Build API-based data integration solutions.
Implement modern data architectures based on Data Mesh / Data-as-a-Product principles.
Enable data interoperability across enterprise platforms.
Integrate AI/ML capabilities into data workflows.
Optimize and automate data processes.
Collaborate with architecture, product, and engineering teams.
6+ years of experience in Data Engineering.




Strong hands‑on experience with AWS (S3, Glue, Lambda, Redshift).
Snowflake.
Advanced Python and SQL.
ETL/ELT pipeline development and optimization.
API-based integrations.
Understanding of Data Mesh / Data-as-a-Product architectures.
Nice to Have: Kafka or other event-driven architectures.
Agile methodologies and strong stakeholder management.
What makes this opportunity exciting? You’ll contribute to a cloud modernization initiative within the healthcare industry, helping build scalable data ecosystems that power analytics, interoperability, and next-generation AI solutions.

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📌 Senior Data Engineer (Ciudad de México)
🏢 FPT Latin America
📍 Ciudad de México