Muttdata

Data Engineer Lead

Muttdata  β€’  Argentine Republic (Remote)  β€’  3 hours ago
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Job Description

πŸš€ Join Our Data Products and Machine Learning Development Remote Startup! πŸš€
Β 
Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
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We’re looking for a Data Engineer Lead to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 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.

🌟 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€“

  • Partner with cross-functional teams to define BI and analytics
    requirements
  • Innovate with new tools to improve Mutt Data'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 well
    as 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 qualityβ€”review, document, test, and integrate CI/CD.

Required Skills πŸ’»

  • Experience leading and mentoring teams in Data projects, guiding technical decisions, and fostering team growth.
  • Proven ability to collaborate with stakeholders, translate business needs into technical solutions, and align priorities across teams.
  • Experience in Data Engineering, including building and optimizing data pipelines.
  • Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
  • Experience working with any cloud (AWS, GCP, Azure or DBT).
  • Knowledge of Docker.
  • Experience with orchestration tools like Airflow or Prefect.
  • Familiarity with ETL processes and automation.

Nice to Have Skills πŸ˜‰

  • Experience with stream processing tools like Kafka Streams, Kinesis, or Spark.
  • Knowledge of Kubernetes.
  • Solid command of English for understanding and communicating technical concepts (Design Documents, etc.).

🎁 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!
Muttdata

About Muttdata

We build scalable AI and data systems that drive long-term business growth, blending technical excellence with a sharp focus on client needs to deliver smarter business outcomes.

We have successfully completed over 200 AI projects, ranging from data platforms and architectures to building AI systems. Our notable customers include Mercado Libre, ClassDojo, Clip, MODO and many others. Additionally, we are AWS Advanced Consulting Partners and the only one in the SOLA region with the AWS Advertising and Marketing Technologies Competency. What’s more, we’re proud to have been recognized as Databricks’ LATAM AI Enterprise Partner of the Year (2025).

Our mission is to guide companies to an AI-fueled future.

We Transform Data into AI that Scales.

In short, we are #DataNerds.

Industry
IT & Software
Company Size
51-200 employees
Headquarters
Buenos Aires, AR
Year Founded
Unknown
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