#8 Data Engineer Senior - Databricks - Mexico

About the 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

🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

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).