Data Engineer

Hi! 👋

We are Mirumee, a Python and TypeScript software house specializing in developing unique products. Since 2009, we’ve been helping businesses transform by delivering sustainable, API-first, efficient, and modern solutions. Our expertise empowers brands across Healthcare, Commerce, and Self-Publishing, from high-volume online retailers to disruptive innovators featured on the Forbes Next Billion Dollar Startups list. At Mirumee, culture matters.

We thrive in open-source communities and believe in technical excellence, open communication, and mutual respect. We actively contribute to open-source projects -check out our work here: GitHub.com/mirumee. But first of all, we care about technical excellence, open communication, and treating each other with respect as equal human beings.

We are seeking an experienced Senior Data Engineer to join an e-commerce project in the cannabis branch in the US, who combines strong technical execution with curiosity, ownership, and a collaborative mindset.

You’ll help shape and scale our data platform while proactively engaging with cross-functional teams to drive clarity, resilience, and value in our data pipelines and tooling. The ideal candidate brings experience with modern data stacks (e.g., Airflow, DBT, cloud-native tooling), strong fundamentals in SQL and Python, and a willingness to engage beyond narrowly defined tasks. If you enjoy working through ambiguity, taking initiative, and helping set new standards of quality, we’d love to meet you!

Your profile

• Strong SQL skills with experience writing performant, maintainable queries on large datasets
• Fluency in Python, especially with libraries like Pandas, and a strong testing discipline
• Experience with Airflow, DBT, or similar orchestration and transformation tools
• Familiarity with BI tools such as Sigma or Tableau
• Experience with AWS and IaaC best practices (especially serverless data services)
• Ability to break down complex projects into iterative steps and communicate progress effectively
• A growth-oriented mindset—you’re resourceful, self-directed, and open to feedback
• Someone curious and engaged, regularly asking thoughtful questions and offering insights beyond your immediate responsibilities
• A positive, collaborative teammate who brings energy and focus to the work and team
• Good command of English (both written and spoken)

Responsibilities

• Design, build, and maintain scalable data pipelines using Airflow, DBT, and Python.
• Partner with stakeholders to clarify requirements, uncover edge cases, and ensure quality delivery - even when the problem space isn’t fully defined.
• Own and improve our data models and warehouse practices, helping ensure reliability, performance, and clarity
• Proactively monitor and respond to data issues (e.g., Sentry alerts, data quality checks), driving resolution and follow-through.
• Collaborate with others through well-scoped pull requests, clear documentation, and knowledge sharing
• Champion testing and observability, ensuring our pipelines

Benefits

• 26 days of paid service disruption per is a standard for us 🌴
• Personal development in the fast-growing industry based on your and our needs: boredom is something foreign to us
• Work wherever the way you want: we don't care if you start at 6 or 10 am and give you the choice to choose between a beautiful office, home office spot or combine both!
• We give you 5 extra days for health recovery (b2b) and the basics to take care of prophylactically - private healthcare that works (Signal Iduna) & sports card (Multisport Plus) for free
• Work-life balance (and we mean it!)
• High-end tools, physical (MacBook), and software ones

And much more that we want to share during interviews! We can't wait to meet YOU. 🙌🏼