#8 Data Engineer Senior - Databricks - Mexico

Mutt Data · Mexico · posted today ago

engineering python data machine-learning remote jobs in mexico

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About this role

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀

At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.

This opportunity is with a leading multinational beverage company based in Mexico City.

We are looking for an Data Engineer Engineer to join our team and work on high-impact projects for a major multinational beverage company based in Mexico 🐶🚀.

🚀 What We Do

Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships

Amazon Web Services
Astronomer
Databricks

🌟 Our Values

📊 We are Data Nerds
🤗 We are Open Team Players
🚀 We Take Ownership
🌟 We Have a Positive Mindset

Responsibilities 🤓

Co-develops batch and streaming pipelines, semantic models, and transformations on Databricks (Python/Spark).
Defines and maintains data contracts, quality rules, and data SLOs for each data product.
Guides domain teams on data modeling and data product boundaries (what belongs to which product/domain).
Trains, mentors and pairs with domain engineers/analysts on data product ownership and good engineering practices.
Captures feedback and best practices from domains and feeds improvements back into platform templates, tooling, and patterns.

Required Skills 💻

Experience in Data Engineering, including building and optimizing data pipelines.
Experience working with Databricks, Python, and Spark, building batch and streaming.
Familiarity with a BI visualization tool like Looker or Tableau.

Nice to Have Skills 😉

Feature Store certification (Fundamentals / Expert) and experience with financial data.
Experience developing AI agents / agentic infrastructure (e.g. Mosaic AI Agent Framework, agent orchestration, MCP).