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Senior Data Engineer

1 month ago

Sydney, New South Wales, Australia Data-Property Data Solns Shared Full time

We are seeking a highly skilled Senior Data Engineer to join our team at Data-Property Data Solutions Shared. This is an exciting opportunity for a seasoned professional to lead the development of cutting-edge data solutions and drive business growth.

About Us

Our company specializes in simplifying the property journey for all stakeholders, leveraging our expertise and exclusive data to achieve outstanding results. As a key member of our team, you will be responsible for building and maintaining data pipelines that move insights from A to B.

The Role

This senior-level position requires a deep understanding of SQL, ETL pipeline development, and a proven track record of delivering complex data solutions. You will work closely with experienced engineers and a leadership team that values innovation and collaboration. Your primary focus will be on creating reusable data assets that empower every department to extract valuable insights and drive business success.

Key Responsibilities:
  • Build Smart Pipelines: Develop and maintain data pipelines that integrate and transform data from various sources into actionable insights.
  • Integrate & Innovate: Combine data from different systems into one seamless view, identifying opportunities for process improvements and implementing innovative solutions.
  • Solve Big Problems: Address complex technical challenges, including legacy system cleanups, scaling up for future growth, and ensuring seamless data flows.
  • Talk the Talk: Collaborate with stakeholders across departments to ensure everyone is aligned and working towards common goals.
What We Offer

In this role, you can expect a competitive salary of approximately $120,000 per annum, based on industry standards and location. Our benefits package includes flexible hybrid work arrangements, comprehensive training opportunities, and a supportive team environment.

Please note that while we welcome applications from diverse backgrounds, candidates must have a strong foundation in SQL, experience with ETL pipeline development, and a passion for driving business growth through data-driven insights.