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#8 Data Engineer Senior - Databricks - Latam

Remote Mexico only

πŸš€ Join Our Remote Data Products & Machine Learning Startup! πŸš€

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 EngineerΒ Engineer to join our team and work on high-impact projects for a major multinational beverage company based in Mexico πŸΆπŸš€.

πŸš€ 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

  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset
  • Β  πŸ” 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! πŸš€

Responsibilities πŸ€“

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

Required Skills πŸ’»

  • 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 πŸ˜‰

  • 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).

🎁 Perks

  • Remote-first culture – work from anywhere! 🌍
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • In-Company English Lessons.
  • Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team.
  • πŸ‘Ά Monthly Childcare ReimbursementΒ  – Because supporting families matters too

Source: the employer's careers page. Last checked 2026-10-30. Posted 2026-10-29.

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