Chief Data Innovation Officer

1 week ago

Melbourne, Victoria, Australia beBeeDataOperations Full time $180,000 - $200,000
Senior Data Operations Engineer

At the forefront of data-driven innovation, our team is passionate about harnessing the power of technology to simplify the energy transition and make a tangible difference in the lives of millions. Our diverse and inclusive culture values collaboration, creativity, and continuous learning.

With a strong focus on operational excellence, we're seeking a Senior DataOps Engineer to design, develop, and operationalize data pipelines and integration frameworks for our enterprise data platform. As part of our dynamic DataOps team, you'll ensure the ongoing operation, support, and maintenance of data products and platform services.

In this role, you'll drive improvements in data and operations, enhance data pipeline efficiency, and leverage cutting-edge technology trends such as advanced analytics and Generative AI.

Key Responsibilities:

  • Enhance and innovate ETL design patterns to meet evolving business needs
  • Develop data ingestion processes and models to drive data-driven decision making
  • Improve data engineering processes, frameworks, and automation to increase scalability and reliability
  • Maintain high-quality solutions using CI/CD and modular design principles
  • Support platform engineering, including infrastructure and DevOps practices to ensure seamless data flow
  • Define operational metrics for system availability, reliability, and data quality, following ITIL best practices
  • Automate cloud infrastructure management using Infrastructure as Code (IaC) to reduce manual errors and improve consistency

Qualifications:

  • Tertiary qualification in Information Technology, Engineering, or a related field
  • Experience with Agile methodologies, Program Increment, and Scaled Agile Framework, including backlog grooming
  • Strong problem-solving skills, motivation, and passion for data-driven innovation
  • Essential experience with cloud platforms AWS and DBT, as well as Data Warehouse, Data Lake, and Data Lakehouse implementation
  • Expertise in SQL and Python programming languages
  • Experience with Data platforms and tools such as Databricks, and knowledge of Data modelling techniques for Data Warehouse and Data Mart applications
  • In-depth understanding of large-scale data sets, including structured and unstructured data
  • Experience with DevOps and agile delivery, including code management, CI/CD, and modular design
  • Familiarity with monitoring and logging solutions for Data Platforms and Tools

We offer a dynamic and inclusive work environment that values collaboration, diversity, and personal growth. With a flexible hybrid working mode, we prioritize work-life balance while fostering opportunities for career development and access to industry-leading tools.

A competitive salary and benefits package are also available.

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