Senior Data Engineer (SQL, Python, Databricks)

Join a respected Australian FinTech and work on an exciting key project using cutting-edge data technologies. This is a fantastic opportunity to work with Databricks, PySpark, SQL, Python, and other modern tools while contributing to the evolution of a high-performing data platform.

January start date – interviews start in November.

Perfect for someone rolling off a contract and looking for security into the new year.

The Role

  • Collaborate as part of the Data Squad to develop modern architectural principles and scalable data solutions.
  • Define, map, and model data from transactional sources, client systems, and external providers.
  • Deploy and maintain data pipelines and assets that improve delivery speed for analytics and reporting, while enabling reuse across teams.
  • Work closely with a friendly, collaborative team and gain hands-on experience with some of the newest Databricks features.

Key Skills Needed

  • Strong experience with SQL and Python
  • Hands-on experience with Apache Spark / PySpark and modern data platforms
  • Familiarity with Jira & Confluence
  • Deep knowledge of data preparation, transformation, and modelling techniques
  • Strong problem-solving skills and ability to work independently and collaboratively

Bonus Skills

  • Power BI (or other visualization tools)
  • Previous finance or fintech experience

This is a fantastic opportunity to work on a cutting-edge data platform, learn, innovate, and make a real impact.


To be considered, APPLY now, or for a confidential discussion, text Anna-Maria on 0426 503 822 and I’ll get back to you.

Anna-Maria  Julie does  Data & Analytics

Data & Analytics

Anna-Maria Julie

Data & Analytics

[email protected]
02 8346 6760