Data Engineer, Financial Data Platform

Requirements

• Experienced with Data Processing Frameworks: Skilled with higher-level JVM-based frameworks such as Flink, Beam, Dataflow, or Spark.
• Comfortable with Ambiguity: Able to work through loosely defined problems and thrive in autonomous team environments.
• Skilled in Cloud-based Environments: Proficient with large-scale data processing in cloud environments, preferably with experience in Google Cloud Platform.
• Strong Analytical Skills: Adept at breaking down complex problems and communicating insights effectively.
• Knowledgeable About Data Modeling: You treat data as a product, with strong data modeling capabilities.

What You'll Be Doing

• Acquire a comprehensive understanding of how financial data supports diverse consumer needs, from Finance to broader business customers.
• Build core datasets and financial abstractions that serve as sources of truth for strategic and operational decision-making.
• Design, prototype, and build scalable data pipelines that process billions of data points reliably.
• Apply product thinking to data: manage the full data product lifecycle from sourcing to documentation and exposition, always prioritizing consumer needs and success.
• Advocate for and implement effective data quality, engineering standards, and reusability.

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.