Data Engineer at Alooba Paul

Sydney NSW, Australia


  • 3+ years of professional development experience
  • Advanced SQL knowledge and experience working with relational databases (Postgres, MySQL)
  • Experience building and optimizing data pipelines, architectures, and data sets
  • Build processes supporting data transformation, data structures, and workload management
  • Working knowledge of message queuing, stream processing, and highly scalable data stores
  • Strong analytic skills
  • Experience performing root cause analysis on internal and external data and processes
  • Experience with data pipeline & workflow management tools (e.g., Airflow, Fivetran, Census, Hightouch, etc.)
  • Experience building BI dashboards (Superset, Cube.js, Tableau, Looker, etc.)
  • Experience with data modeling tools like DBT
  • Experience with data warehouses (Snowflake, Big Query, Redshift)
  • Experience with object-oriented/object function scripting languages (Python and Typescript preferred)
  • Strong work ethic, self-directed
  • Passion for building
  • Eye for detail

You will need to be able to build

  • Data pipelines for marketing, finance, operations, and other parts of the business
  • Business dashboards
  • Clean datasets for easy analysis
  • Create data tools to help build our product into an industry leader
  • Work with tools like Segment to implement event tracking Tech Stack

Our data stack is in its infancy, so you will play a critical role in helping build out our infrastructure (and team) and deciding what technologies we should use. Currently, we use Segment, Big Query, and Airbyte.

Our app and backend are end-to-end Typescript. With NextJS for our web app and React Native for our mobile apps. Our API is provided by a GraphQL interface and interfaces with a PostgreSQL database via Prisma.


  • Medical, dental, and vision benefits covered 100%
  • 401k
  • Equity