Job Description Summary
At The Coca ‑ Cola Company, we believe data is the foundation for creating personalized experiences and powering sustainable growth in today's digital-first world. As consumers engage with our brands in more connected ways than ever before, we are investing in advanced data and analytics platforms to unlock deeper insights, accelerate decision-making, and enable seamless innovation at scale.
In this role as a Sr. Data Engineer , you will play a critical part in shaping how data flows across our enterprise ecosystem. By leveraging your deep expertise in Spark, Scala development, and JVM-based engineering, you will design and implement integration frameworks that power both batch and streaming workloads on Microsoft Fabric and Synapse Analytics.
Core Responsibilities
- Design and develop data integration pipelines and backend services for structured and unstructured data, using Apache Spark with Scala.
- Build and optimize distributed computing applications that deliver scalable batch and streaming workloads within Microsoft Fabric environments.




- Performance tuning, including partitioning strategies, memory configuration, query optimization, and workload balancing across large datasets.
- Become the arena for technical innovation, performance analysis, and Vendor oversight.
- Contribute to strong candidate selection criteria and collaborate with peer team to ensure a robust recruitment framework.
- Assist in formulating localized talent acquisition strategies to attract and retain top-tier talent.
- Partner with recruiters and hiring managers to ensure a positive candidate experience by providing timely feedback and updates.
- Coordinate all recruitment activities within assigned regions to ensure projected T&L; targets are met.
- Encourage hard‑wired recruitment automation solutions to streamline the engagement process and provide timely talent acquisition insights.
- Adhere to business implementation guidelines and contribute to technology de

📌 Sr. Data Engineer (México)
🏢 Coca Cola
📍 México