Requirements

• 5+ years of experience in data engineering, backend engineering, or related role
• Proven experience in delivering complex data pipelines or data platform capabilities
• Strong Python and SQL skills
• Hands-on experience with workflow orchestration tools like Airflow or Dagster
• Strong understanding of data modeling and data architectures

Nice to haves

• Experience with real-time or event-driven data platforms
• Experience with cloud-native services using Docker and Kubernetes
• Familiarity with Infrastructure as Code, especially Terraform
• Experience with data governance and compliance requirements
• Experience with data observability tools like Great Expectations

What You'll Be Doing

• Designing, delivering, and operating complex data pipelines and platform components
• Translating business requirements into scalable data models and technical plans
• Evolving data architecture, storage, and processing patterns
• Improving data quality, observability, and incident response
• Collaborating with product teams and stakeholders to define data contracts

Perks and Benefits

• Competitive compensation
• Opportunity for career growth and learning
• Flexibility and ownership in your work
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment with talented teams