Data Engineer, Zivver

• Master's degree in computer science or something even more complicated
• Strong SQL and NoSQL skills
• Solid experience with Python
• Experience with DevOps practices (CI/CD, deployments, AWS infrastructure)
• Experience with data modeling and leading and supporting our product teams
• You push yourself and others to the highest possible quality bar
• You are looking to grow every day by being curious and coachable
• You are pragmatic: nothing needs to be perfect from day one (or day zero?)
• You are a strong collaborator: straightforward and direct, but respectful with a big smile

Desirable

• As a Data Engineer, you'll be at the heart of our multi-skilled team, which includes both Cloud Operations and Data Engineering
• Your main focus will be on supporting our data and the infrastructure that powers it
• By working closely with these teams, you'll help deliver valuable insights that guide our decisions and create resourceful data products
• You'll be responsible for building the data pipelines that feed into our data warehouse and applications
• You'll also team up with our experts to develop robust data models and work with our engineers to ensure we collect and use high-quality data for data-intensive features
• Your efforts will lay the groundwork for our data-driven success
• In this role, you'll need to collaborate with various product teams, managing priorities and requirements to ensure we're all aligned and moving forward together
• You will be part of a cross-skilled team, covering both cloud Ops & data engineering. You will be responsible for any activities and requirements related to data
• Build and maintain scalable data pipelines fueling our data warehouse and product
• Collaborate with the Cloud Ops & data engineering team to build out our Snowflake data warehouse, built using dbt
• Work with the engineering team to build out our Snowplow-based data collection
• Create interfaces to help product teams build data-intensive features