Argentina Remote (Global) Employment

Muttdata is hiring a Cloud Data Engineer Lead

About the Role

Muttdata is looking for a Cloud Data Engineer Lead to design, deploy, and maintain machine learning models for marketing campaign budget optimization and allocation. You will build scalable ML pipelines, work closely with product teams and stakeholders, and ensure models deliver real business impact.

What You'll Do

  • Build and manage scalable data pipelines using Apache Airflow, dbt, and Airbyte for seamless data ingestion and movement.
  • Work hand in hand with the product team to address client and internal user issues, design technical solutions, and help prioritize the roadmap.
  • Use Terraform to provision and manage cloud resources on AWS, maintaining secure and cost-effective infrastructure.
  • Manage containerized applications and services on Kubernetes (EKS), implementing continuous delivery practices.
  • Abstract away complex DAG and dbt logic to reduce manual work for the team and optimize time to market.
  • Implement rigorous testing frameworks, specifically leveraging dbt tests, to ensure data quality and catch errors.
  • Maintain and improve CI/CD pipelines to automate testing, deployment, and infrastructure changes.

What We're Looking For

  • Strong experience in Python and a deep mastery of SQL and Postgres.
  • Hands-on experience with Airflow, dbt, and Airbyte.
  • Experience constructing analytical data systems over Data Lakes (e.g., AWS S3, Athena, EMR, Glue, Iceberg/Delta).
  • Solid understanding of AWS services (S3, EC2, RDS, IAM, etc.).
  • Strong understanding of GitOps, CI/CD principles, and a passion for automation.
  • Great capacity for collaborative, async, and written communication. You take ownership and follow through on commitments.

Nice to Have

  • Experience setting up monitoring and alerting systems for data pipelines and infrastructure.
  • A sharp sense of code hygiene, including code review, documentation, testing, and CI/CD.
  • Experience with stream processing tools like Kafka Streams, Kinesis, or Spark.
  • Proficiency in Python's Scientific Stack, including numpy, pandas, jupyter, matplotlib, scikit-learn.
  • Proficiency with Terraform, Docker, and Kubernetes.
  • Solid command of English for writing technical documents, such as Design Documents.

Technical Stack

  • Languages & Core: Python, SQL, Postgres
  • Orchestration & Transformation: Apache Airflow, dbt, Airbyte
  • Cloud & Infrastructure: AWS, Terraform, Kubernetes, Docker
  • Data Lake Services: AWS S3, Athena, EMR, Glue, Iceberg, Delta

Team & Environment

You will work closely with the product team and business stakeholders.

Benefits & Compensation

  • 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!).
  • Referral bonuses.
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • Annual Mutters' Trip – an unforgettable getaway with the team.

Work Mode

This is a global remote position.

Muttdata is an equal opportunity employer.

Required Skills
PythonSQLPostgresApache AirflowdbtAirbyteAWSTerraformKubernetesDockerData LakesGitOpsCI/CDAWS S3AWS Athena
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About company
Muttdata

A dynamic startup committed to crafting innovative systems powered by cutting-edge Big Data and Machine Learning technologies. The company builds modern Machine Learning systems for demand planning and budget forecasting, develops scalable data infrastructures, offers comprehensive Data Engineering and custom AI solutions, uses Generative AI for e-commerce ads, builds deep learning models for visual recognition, and develops recommendation models for personalized user experiences.

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Job Details
Department Data and Analytics
Category data
Posted 14 days ago