Description review
Platform Engineer
Mutt Data · Argentina · back to the listing
HR standards
55/100
needs work
Title ↔ description
69/100
needs work
Reads as
Data Engineer
95% confident
How others title the same work
Large employers
- Data Engineer, Product Analytics Meta
- Senior Staff Data Engineer Mozilla
- Staff, Analytics Engineer, GTM Data Science & Analytics Twilio
- Senior Software Engineer - Data Platform Coinbase
- Senior Security Data Engineer Doordash
Startups
- Business Intelligence Engineer GoSats
- IPinfo.io | Data Engineer | REMOTE (Anywhere) | Full-time IPinfo.io
- Senior Data Engineer Camber
- Senior Data Engineer Instrumentl
- Cardog | Toronto, Canada or REMOTE | Full-time Cardog
What the listing never says
- 31 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
🚀 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.
We are looking for a builder-minded Data Platform & AI Engineer to join our team 🐶🚀. You'll use GitHub Copilot and agents as everyday tools, bringing LLMs, RAG, and AI Agents into Data+, our internal data platform, to automate Data Engineering and operational tasks — on top of a solid Data Engineering, Cloud, and Platform Engineering foundation.
🚀 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 🤓
• Build pipelines, backends, frontends, and PoCs using GitHub Copilot and agents as your main tools.
• Bring LLMs, RAG, and AI Agents into the platform to automate Data Engineering and operational tasks.
• Design reusable capabilities and data pipelines for Data+. Implement automation, CI/CD, and Infrastructure as Code on AWS.
• Integrate APIs and tools to make the platform increasingly self-service.
Required Skills💻
• Experience Real experience building with generative AI: daily use of GitHub Copilot or similar, plus at least one project with LLMs, RAG, or agents.
• Experience in Data Engineering, Data Platform, or Cloud Data Engineering. Strong Python and SQL.
• Experience with AWS and data pipelines.
• Comfort moving between pipelines, backend, and frontend, and shipping a PoC quickly. Knowledge of Git, CI/CD, and Infrastructure as Code.
Nice to Haves 💻
• Experience with Redshift, Glue, Lake Formation, dbt, Terraform, Data Mesh/Lakehouse, Vector Databases, agent frameworks, or Spec-Driven Development.
🎁 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!
•
👶 Monthly Childcare Reimbursement – Because supporting families matters too
Originally posted on Himalayas
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.
We are looking for a builder-minded Data Platform & AI Engineer to join our team 🐶🚀. You'll use GitHub Copilot and agents as everyday tools, bringing LLMs, RAG, and AI Agents into Data+, our internal data platform, to automate Data Engineering and operational tasks — on top of a solid Data Engineering, Cloud, and Platform Engineering foundation.
🚀 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 🤓
• Build pipelines, backends, frontends, and PoCs using GitHub Copilot and agents as your main tools.
• Bring LLMs, RAG, and AI Agents into the platform to automate Data Engineering and operational tasks.
• Design reusable capabilities and data pipelines for Data+. Implement automation, CI/CD, and Infrastructure as Code on AWS.
• Integrate APIs and tools to make the platform increasingly self-service.
Required Skills💻
• Experience Real experience building with generative AI: daily use of GitHub Copilot or similar, plus at least one project with LLMs, RAG, or agents.
• Experience in Data Engineering, Data Platform, or Cloud Data Engineering. Strong Python and SQL.
• Experience with AWS and data pipelines.
• Comfort moving between pipelines, backend, and frontend, and shipping a PoC quickly. Knowledge of Git, CI/CD, and Infrastructure as Code.
Nice to Haves 💻
• Experience with Redshift, Glue, Lake Formation, dbt, Terraform, Data Mesh/Lakehouse, Vector Databases, agent frameworks, or Spec-Driven Development.
🎁 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!
•
👶 Monthly Childcare Reimbursement – Because supporting families matters too
Originally posted on Himalayas