Collaborate with the team to define goals and deliver custom data solutions.
Innovate with new tools to improve Mutt Data's infrastructure and processes.
Design and implement ETL processes, optimize queries, and automate pipelines.
Own projects end-to-end—build, maintain, and improve data systems while working with clients.
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.

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, DBS or DBT).
Basic knowledge of Docker.
Experience with orchestration tools like Airflow or Prefect.
Familiarity with ETL processes and automation.

Machine Learning Engineer

Key skills