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Data Engineer

  • 4-Month day rate contract opportunity - A$100/hr

  • Azure/Databricks focus

  • Hybrid working for flexibility

Join this growing Data team as a Senior Data Engineer, leading data migration projects and delivering high-quality data products on a modernised cloud-based data analytics platform. You'll play a pivotal role in designing and expanding data architecture, using cutting-edge technologies like Azure and Databricks.

Key Responsibilities

  • Lead data migration projects and drive strategic development of the data foundation

  • Validate, standardise, and analyze data to ensure accuracy and quality

  • Expand data platform capabilities by integrating new data sources

  • Design and develop scalable data engineering assets and feature engineering frameworks

  • Code, test, and document data models and ETL tools for robust data assets

  • Implement process improvements, automation, and infrastructure optimizations

  • Build data pipelines for faster, data-informed decision-making

  • Develop ETL solutions using Python, Databricks, Spark, and Azure

Requirements

  • Proven experience in data engineering, solution design, and delivery

  • Proficiency in cloud data analytics technologies: Databricks, Azure ADF

  • Strong skills in MS Stack (SQL Server, SSIS, SSRS, SSAS, Power BI, SQL)

  • Familiarity with MongoDB, graph databases, and programming languages (R, Python, Spark ETL SQL VStudio)

  • Leadership experience managing data expert teams

  • Agile mindset and ability to work independently

  • Strong understanding of the data management lifecycle and data quality management

Benefits

  • Competitive day rate

  • Hybrid working options for flexibility

  • Generous leave allowances and parental leave

  • Equal Opportunities Employer

  • Award-winning employer - ask for more information about their Employer Value Proposition

 

Apply today for IMMEDIATE START!

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Requirements added by the job poster

• No need for visa sponsorship

• 1+ years of work experience with Azure Databricks

We are super excited to hear from you, learn more about you and tell you more about us. So hit APPLY now and let's catch-up.

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