Data Platform – AI Engineer

Job not on LinkedIn

🕒 July 29

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 34%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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MUTT DATA

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

🛡️ Insurance

📦 Logistics

Marketing • Insurance • Logistics

MUTT DATA is a consulting firm that specializes in leveraging AI and machine learning to create automated systems that drive revenue for their clients. They offer solutions in sectors such as Adtech, Martech, Fintech, and Telecommunication, focusing on optimizing advertising platforms, enhancing data-driven marketing strategies, and providing real-time insights in financial and telecommunications networks. MUTT DATA provides expert team augmentation, seamless integration of data architectures in the cloud, and tailor-made solutions to refine product strategies. Their services include implementing modern data stacks, marketing mix modeling, and generative AI. MUTT DATA partners with leading companies like Amazon Web Services, Google Cloud, and others to deliver advanced data and AI solutions. They are recognized in LATAM for their AWS competencies and expertise in data science and MLOps, ensuring robust, scalable, and cost-effective data systems for their clients.

📋 Description

• 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

🎯 Requirements

• 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 have: Experience with Redshift, Glue, Lake Formation, dbt, Terraform, Data Mesh/Lakehouse, Vector Databases, agent frameworks, or Spec-Driven Development

🏖️ Benefits

• 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 • Birthday off + an extra vacation week (Mutt Week!) • Referral bonuses • Annual Mutters' Trip • Monthly Childcare Reimbursement