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Cloud Data Engineer

3 weeks ago

Sydney, New South Wales, Australia beBeeData Full time $120,000 - $140,000
Cloud Data Engineer
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As a Cloud Data Engineer, you will play a key role in designing, building and implementing cloud-based data solutions that drive business value. You will collaborate with cross-functional teams to develop scalable and secure data pipelines, ensuring seamless data integration and high-quality data delivery. This role requires a strong focus on cloud platforms, particularly Snowflake, Microsoft Fabric, and major cloud providers.

The ideal candidate will have hands-on experience with data engineering tools, including ETL/ELT principles, data governance, data security, and compliance best practices. A solid understanding of cloud cost management (FinOps) is essential to ensure that our data solutions remain both scalable and cost-efficient.

  • Key Responsibilities:
  • Design & Build: Architect, develop, and maintain scalable and robust data pipelines and ETL/ELT processes for our new cloud data platform to collect, process, and store data from multiple sources.
  • Drive the Migration: Play a key role in the strategic planning and hands-on execution of migrating data from on-premises sources (SQL Server and a number of source systems) to the cloud Snowflake with a Fabric front end.
  • Optimise Performance: Monitor, troubleshoot, and optimise data pipelines to ensure data quality, reliability, and performance.
  • Collaborate & Innovate: Work closely with technology and business stakeholders to understand their needs and deliver high-quality data solutions.
  • Ensure Best Practices: Implement and advocate for data engineering best practices in data modelling, data governance, and security.
  • Document & Report: Create and maintain comprehensive documentation for data pipelines, system architecture, and processes. Generate reports on data quality, pipeline performance, and migration status to ensure transparency and support project governance.
  • Develop and deliver visualisation dashboards in accordance with best practice methodologies ensuring requirements are gathered and met and reports are tested and delivered to agreed standards and timeframes.
  • Create robust processes for data quality assurance and resolve incidents assigned within agreed timeframes.
  • Develop and implement data models with the Data Architect in agreed timeframes.
  • Contribute towards master data management by educating end users and maintaining data integrity.
  • Implement monitoring, logging, and alerting to maintain reliability and performance.

Essential Skills:

  • Bachelor's degree in computer science, Data Engineering, Information Technology, or related field (or equivalent experience).
  • Proven experience as a Data Engineer with a strong focus on cloud data solutions.
  • Hands-on experience with Snowflake or Microsoft Fabric is essential.
  • Demonstrated success in migrating data from on-premises databases to a cloud data warehouse.
  • Proficiency in Power BI, SQL, and a scripting language like Python.
  • Solid understanding of ETL/ELT principles and experience with data integration tools.
  • Familiarity with major cloud platforms such as Azure, AWS, or GCP.
  • Knowledge of data governance, data security, and compliance best practices.
  • Strong understanding of cloud cost management (FinOps) to ensure that our data solutions remain both scalable and cost-efficient.

Nice-to-Haves:

  • Experience in the Higher Education sector.
  • Experience with data orchestration tools.
  • Knowledge of CI/CD pipelines for data engineering. Certification in Snowflake, Microsoft Fabric, or a major cloud provider.

What We Have To Offer:

  • A flexible work environment.
  • A diverse workplace with a passion for encouraging and supporting inclusiveness.
  • Wellbeing programs (including discounted gym memberships, free and confidential access to an Employee Assistance Program, and wellbeing initiatives and resources).
  • Continuous learning and professional development (including ongoing learning & development opportunities, free LinkedIn Learning access and the UTS Library).
  • An easy-to-use Staff Recognition Program.
  • Additional paid leave over the December end of year holidays.
  • A competitive salary that includes 12% super and holiday leave loading paid annually, and salary sacrifice options.

Apply now