Proven experience in data engineering, including creating reliable, efficient, and scalable data pipelines for large datasets (especially in Python or Scala)
Experience in building and maintaining scalable backend systems
Knowledge of cloud-based data platforms (AWS, GCP, or Azure)
Strong collaboration and communication skills with technical and non-technical stakeholders
Seek to participate in continuous improvement efforts such as software development, planning, estimating, developing, and testing
What You'll Be Doing
Take ownership over, maintain and improve data pipelines that are integral to our success
Evaluate and optimize our offerings for efficiency and reliability at scale
Identify areas of architectural improvement to remove the potential for human error
Collaborate with product and engineering teams to understand data requirements and create innovative solutions to challenging problems
Understand the analytics data we collect from our systems and how it relates to the business value being produced
Perks and Benefits
Extensive learning opportunities, through our dedicated team, GreenHouse
Flexible share incentives letting you choose how you share in our success
Global parental leave, six months off - fully paid - for all new parents
All The Feels, our employee assistance program and self-care hub
Flexible public holidays, swap days off according to your values and beliefs