Data Engineer

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Join this successful and fast growing fintech company that's passionate about product, automation and efficiency.

  • Play and instrumental role in identifying trends and innovation
  • Work with the senior development team across multiple projects
  • Work on a product that makes a difference in people's lives
The role
As a Data Engineer, the bulk of your time will be spent designing, building and optimising client data pipelines for ingestion. More specifically, this role will be focused around onboarding new client data - from basic CSVs to interconnected APIs. You'll also be working closely with the analytics team so that you can build and optimise data extraction, as well as integration solutions. Bonus points if you are passionate about being involved in identifying trends in innovation which could inform future development of solutions.
About you
You have a couple of years of data integration and programming experience, perhaps with Java, .NET, Python and/or Scala. You'll also have a working knowledge of data platform concepts such as big data cloud storage (Azure Blob Store / Data Lake Store), data warehouse (Azure DW, Synapse, Snowflake, etc.), big data processing (e.g. Spark, Databricks, Redshift, Delta Lake, Dremio, Presto, etc.), real time processing architecture for data platforms, and around the scheduling and monitoring of ETL/ELT jobs. Finally, it's important that you are proficient in SQL within cloud architecture.
The offer
  • Sydney-based but offering a hybrid approach to work-from-home/in office
  • The ability to grow the responsibilities of your role as the business continues to grow
  • A competitive salary, up to $120k + super
Find out more
If you're interested in having a conversation about this role, send me an email with your resume, and let me know why you're interested in this position. We can then schedule a call to see if there's a fit.

Sarah Jacob |