Senior Data Engineer

4 weeks ago


Melbourne, Victoria, Australia UniSuper Full time

About the Role

We are seeking a highly skilled Senior Data Engineer to join our team at UniSuper. As a Senior Data Engineer, you will play a critical role in building and maintaining efficient data pipelines and data assets to support our reporting and analytic requirements.

Key Responsibilities:

  • Design and implement data cleaning and transformation logic within Databricks using dbt core, Spark SQL, and Python, following the medallion architecture principles.
  • Collaborate with data analysts, data scientists, data stewards, and data modellers to understand business needs and translate them into technical efficient data models.
  • Develop and maintain data models in gold layers using dbt Core to create consumable datasets for reporting and analysis.
  • Implement best practices for data Security, governance, and scalability within the data pipelines.

About You

We are looking for an individual who has worked in fast-moving transformation environments and is comfortable working with a degree of ambiguity. You will have:

  • Experience as a Data Engineer or a similar role in a mature data warehouse environment.
  • Proven commercial experience with cloud-based platforms, preferably Microsoft Azure and Databricks.
  • Experience in building and maintaining data pipelines using tools like Azure Data Factory (ADF) and FiveTran.
  • Proficient in data modelling concepts and experience with dbt core.
  • Commercial experience working with Delta Lake on Databricks for reliable data storage and efficient data processing.
  • Familiar with medallion architecture for data warehousing.

What We Offer

We're passionate about knowledge and sharing it amongst our members and our employees. We believe in a hybrid working environment that offers flexibility and collaboration opportunities. If you're passionate about data engineering and want to be part of a high-performing team, please apply.



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