Requirements

Expected technologies

SQL

Python

Airflow

DBT

Sigma

Tableau

AWS

Our requirements

• 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)

Your 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 are resilient and trustworthy