Junior Data Engineer, Financial Engineering

Requirements

• Experienced as a Data Engineer, using Scala. Experience with Java and Python is a plus
• Well-versed with data processing frameworks, such as Scio, Spark, DataFlow, Beam, Kafka, Hadoop, or equivalent
• Knowledgeable in cloud-based environments, preferably with an understanding of Google Cloud Platform
• Comfortable working with large datasets using SQL and data analytics platforms such as BigQuery
• Strong analytical and problem-solving abilities, coupled with written and verbal communication skills
• Experience designing complex systems (like RFC, ADR, C4, DDD, UML)

What You'll Be Doing

• Drive a deep understanding of how user and financial metrics are utilized across different user groups
• Lead data modeling efforts with a data-as-a-product approach, expanding current metrics to meet evolving business requirements
• Design, develop, and test robust data pipelines capable of processing billions of data points
• Enhance data quality through testing, tooling, and continuous performance evaluation
• Collaborate with cross-functional teams to build solutions and uncover valuable insights
• Take end-to-end ownership of product development and delivery within your mission

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 with six months off fully paid for all new parents
• All The Feels, our employee assistance program and self-care hub
• Flexible public holidays to swap days off according to your values and beliefs