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.
About the role
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
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Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
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Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
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Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
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Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
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Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
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Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
🌟 Our Partnerships
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Amazon Web Services
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Astronomer
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Databricks
🌟 Our Values
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📊 We are Data Nerds
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🤗 We are Open Team Players
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🚀 We Take Ownership
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🌟 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 🤓
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Co-develops batch and streaming pipelines, semantic models, and transformations on Databricks (Python/Spark).
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Defines and maintains data contracts, quality rules, and data SLOs for each data product.
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Guides domain teams on data modeling and data product boundaries (what belongs to which product/domain).
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Trains, mentors and pairs with domain engineers/analysts on data product ownership and good engineering practices.
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Captures feedback and best practices from domains and feeds improvements back into platform templates, tooling, and patterns.
Required Skills 💻
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Experience in Data Engineering, including building and optimizing data pipelines.
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Experience working with Databricks, Python, and Spark, building batch and streaming.
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Familiarity with a BI visualization tool like Looker or Tableau.
Nice to Have Skills 😉
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Feature Store certification (Fundamentals / Expert) and experience with financial data.
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Experience developing AI agents / agentic infrastructure (e.g. Mosaic AI Agent Framework, agent orchestration, MCP).
🎁 Perks
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Remote-first culture – work from anywhere! 🌍
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AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
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In-Company English Lessons.
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Birthday off + an extra vacation week (Mutt Week! 🏖️)
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Referral bonuses – help us grow the team & get rewarded!
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Maslow: Monthly credits to spend in our benefits marketplace.
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✈️🏝️ Annual Mutters’ Trip – an unforgettable getaway with the team.
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👶 Monthly Childcare Reimbursement – Because supporting families matters too