Data Engineer

Mutinex

Mutinex is an early-stage B2B SaaS startup with a strong foundation, already serving notable clients like Samsung and CUB. Focused on sustainable growth rather than chasing unicorn status, the company aims to help marketers enhance their ROI through advanced data analytics. Joining their expanding team offers the opportunity to contribute to building cutting-edge solutions and shape a key product in the Marketing Mix Modelling domain.

In this role you can expect to have the responsibilities:

• Design, build, and manage data ingestion pipelines for DataOS.
• Develop integrations with external APIs and data providers for data automation.
• Implement AI-driven automated data quality assurance processes.
• Optimize DataOS components for performance and efficiency.
• Collaborate with product managers, data scientists, and engineers.

This role comes with the following benefits:

• Hybrid work environment in Sydney, Melbourne, and the US.
• Equity (ESOP) for all staff.
• Additional annual leave based on tenure.

This role requires you to have:

• 2+ years of experience in data engineering with software engineering expertise.
• Proficiency in Python and SQL.
• Experience with Typescript, Node, and cloud-based environments.
• Knowledge of ETL processes and scalable data solutions.

You would benefit from having:

• Experience with Dagster and dbt.
• Familiarity with Pulumi or Terraform.
• Understanding of testing methodologies and CI/CD best practices.

Mutinex emphasizes strong communication and feedback culture. They offer increasing leave up to 30 days annually for long-term employees and provide opportunities to impact a high-growth startup.