Data & MLOps Engineer

Quatt

Quatt is driven by the mission to accelerate the energy transition, aiming to assist three million households in adopting sustainable home energy solutions by 2030. The Data & MLOps Engineer will be pivotal in this endeavor, tasked with enhancing data infrastructures and facilitating the smooth deployment of machine learning models. The role focuses on optimizing data workflows and supporting predictive models, aligning with Quatt's objectives to address climate change challenges.

In this role you can expect to have the responsibilities:

• Develop scalable data pipelines using Dagster and DBT.
• Manage data marts in Snowflake for easy data access.
• Work with cross-functional teams to implement analytics use cases.
• Enhance real-time data ingestion using Kafka and Snowpipe.
• Build MLOps pipelines for model deployment and monitoring.
• Ensure reliable model operation in various environments.
• Implement CI/CD workflows for machine learning models.

This role comes with the following benefits:

• Competitive salary with additional 8% holiday allowance.
• Travel cost coverage for office visits in Amsterdam.
• 25 paid holiday days annually.
• Option to work abroad for a month each year.
• Career growth support and learning opportunities.
• Inclusive company culture with over 30 nationalities.
• Access to confidential support from licensed psychologists.
• Annual discounts on Quatt products.
• Healthy vegetarian/vegan lunch at the office.
• Themed monthly drinks and seasonal parties.
• Referral bonus of €2,000 for hiring friends.

This role requires you to have:

• 5+ years of data engineering experience.
• Proficiency in SQL and Python.
• Experience with DBT and Dagster.
• Expertise in deploying and maintaining models in production.
• Knowledge of real-time data streaming using Kafka or Snowpipe.
• Experience with AWS services.
• Familiarity with Infrastructure as Code tools like Terraform.

Quatt values diversity and inclusivity, encouraging candidates to omit personal details like gender, nationality, or birthdate from resumes. The company does not engage with recruitment agencies.