Sr. Data Engineer
At a glance
Senior Data Engineering role at Coca-Cola Company. Mexico City · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build Spark and Scala pipelines and backend services to connect structured and unstructured data
- Create distributed applications for batch and streaming work in Microsoft Fabric, then tune them for large datasets
- Develop JVM-based REST services that let internal and external systems exchange data
- Write modular, testable Scala code and automate data-artifact testing and releases through CI/CD pipelines
- Improve query speed and cost by adjusting partitions, storage formats, memory, and platform settings
What you bring
- Strong Scala skills, including functional programming, concurrency, and modular system design
- At least three years building and tuning Apache Spark applications for distributed computing
- At least three combined years designing and transforming data with Synapse, Fabric, or other named Azure services
- Experience with JVM REST services, analytics data models, and automated release workflows using Git, GitHub Actions, Maven, SBT, or UV
Who this fits
This senior engineering role suits you if you have hands-on Spark and Scala experience and can build production data services and pipelines. The role is based in Mexico City, requires travel of zero to twenty-five percent, and does not provide relocation.
From the employer
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.
Perform advanced Spark performance tuning, including partitioning strategies, memory configuration, query optimization, and workload balancing across large datasets.
Develop REST-based microservices and APIs on the JVM to enable seamless interoperability between internal and external systems.
Engineer modular, testable, and maintainable code applying functional programming principles and industry-best patterns for reliability and performance.
Optimize workflows through data partitioning strategies, storage formats, and platform configurations to enable high-performance querying and cost efficiency.
Engineering Rigor: Champion the "You Build It, You Run It" philosophy. Apply strict functional programming and SOLID principles to write clean, modular, and testable Scala code.
Performance Optimization: Conduct deep Spark performance tuning - managing memory, query plans, partitioning strategies, and capacity optimization to deliver highly efficient batch and streaming workloads within Microsoft Fabric.
CI/CD & Automation: Architect and maintain robust CI/CD pipelines using GitHub Actions, Maven, and SBT to automate testing, deployment, and configuration of data artifacts.
Required Qualifications & Experience
Strong proficiency in Scala programming with demonstrated knowledge of functional programming concepts, concurrency models, and modular system design.
Spark Expertise (3+ years): Deep, hands-on experience building, debugging and optimizing distributed computing applications using Apache Spark (Scala/Java preferred).
Experience designing data models (STAR, Vault, Tabular) for analytics.
Experience building REST based microservices on JVM.
Synapse/Fabric Experience (3+ years of combined experience); Designing and transforming large data using Azure Data Services (Synapse, ADF, Azure Functions, ARM Templates).
DevOps & CI/CD: Proven ability to build automated release cycles. Hands-on expertise with Git, GitHub Actions, and build tools (Maven/SBT, UV are required).
Demonstrated experience working with big data ecosystems such as Hadoop, Delta Lake, or similar technologies within cloud platforms (AWS, Azure, or GCP).
Delivery: Experience in Agile development (Scrum, lean techniques) and collaborating with global engineering teams.
Skills:
Location(s):
MexicoCity/Cities:
MexicoTravel Required:
00% - 25%Relocation Provided:
NoJob Posting End Date:
November 12, 2026Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
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