Collaborate with the team to define goals and deliver custom data solutions.
Innovate with new tools to improve infrastructure and processes.
Design and implement ETL processes, optimize queries, and automate pipelines.
Own projects end-to-end, working directly with clients.
Mentor and support team members, helping them deepen their knowledge in Data Engineering and model design.
Lead data pipeline development and guide technical decisions.
Act as a liaison between the team and stakeholders, ensuring alignment.
Foster team autonomy while ensuring smooth collaboration.
Contribute to technical research and stay ahead of solutions for future projects.
Focus on code quality—review, document, test, and integrate CI/CD.
Participate in candidate interviews and evaluations to help Mutt grow.

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).
Knowledge of Docker.
Experience with orchestration tools like Airflow or Prefect.
Familiarity with ETL processes and automation.

Lead Data Engineer

Key skills