Mutt Data
Data Engineer Senior
Remote Data Engineering role with clear candidate location fit.
PostedJul 4, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Argentina
Role overview
Data Engineer Senior
Requirements and responsibilities
Readable role content extracted into sections for faster review.
🚀 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 🤓
- Partner with cross-functional teams to define BI and analyticsrequirements
- Innovate with new tools to improve Muttdata's infrastructure and processes.
- Design dimensional data models and build scalable data pipelines
- Develop data models to feed dashboards for teams across the org, as wellas client-facing analytics
- Develop tools for the team and assist in tech migrations and model design.
- Build scalable, high-performance data architectures.
- Focus on code quality—review, document, test, and integrate CI/CD.
Required Skills 💻
- Experience in Data Engineering, including building and optimizing data pipelines.
- Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
- English Advanced Level.
- Experience working with dbt for data transformation and cloud platforms such as AWS. Familiarity with modern data stack tools, including Snowflake, is a plus.
- Basic knowledge of Docker.
- Experience with orchestration tools like Airflow or Prefect.
- Familiarity with a BI visualization tool like Looker or Tableau.
🎁 Perks
- 🌍 Remote-first culture – work from anywhere!
- 🚀 In-Company English Lessons.
- 💪 Wellhub or sports club stipend to stay active
- 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- 🍕 Food credits via Pedidos Ya – because great work deserves great food.
- 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
- 🤝 Referral bonuses – help us grow the team & get rewarded!
- ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
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