Senior Data Solutions Engineer

4 days ago


Brisbane, Queensland, Australia beBeeData Full time $180,000 - $220,000

About the Role

We are seeking an experienced technical professional to lead our data solutions on Azure Cloud and Azure Databricks.

This role is pivotal in driving the design, development, and implementation of our data engineering projects.

  • Key Responsibilities:
  • Design and Development:
    • Oversee the design and implementation of data pipelines, ETL processes, and data models on Azure Databricks.
    • Ensure the adoption of best practices in data engineering, including data quality, performance optimization, security, and compliance.
    • Work closely with data architects to translate high-level architecture into actionable implementation plans.
  • Implementation & Best Practices:
    • Guide the team in implementing data solutions, ensuring they adhere to best practices and are scalable, reliable, and secure.
    • Conduct code reviews, design reviews, and ensure the team follows best practices in version control, CI/CD, and DevOps for data engineering.
    • Implement monitoring, logging, and alerting for data solutions to ensure high availability and quick issue resolution.
  • Collaboration & Communication:
    • Collaborate with cross-functional teams to ensure seamless integration of data solutions.
    • Communicate technical concepts to non-technical stakeholders, providing insights and recommendations to drive data-driven decision-making.
  • Mentorship and Guidance:
    • Mentor and guide data engineers and analysts, providing support and sharing best practices.
    • Collaborate with stakeholders to define data architecture, establish best practices, and drive the strategic direction for data engineering projects.
  • Continuous Improvement:
    • Drive continuous improvement in data engineering processes, tools, and methodologies.
    • Foster a culture of innovation and experimentation, encouraging the team to explore new tools, technologies, and approaches.
  • Governance and Quality:
    • Ensure data governance, security, and quality standards are maintained throughout the data lifecycle.
    • Monitor and support data management initiatives, including those within specific environments like Microsoft Azure/Databricks.

About You

Knowledge and Experience**:

  • Extensive experience in data engineering, with a strong focus on Azure Cloud and Azure Databricks.
  • Proven experience in leading and mentoring technical teams.
  • Deep understanding of data architecture, data warehousing, data modelling, ETL processes, and big data technologies.
  • Proficiency in programming languages such as Python, SQL, and Scala.
  • Strong knowledge of CI/CD, DevOps practices, and tools such as Azure DevOps or similar.

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