Job brief
We are seeking a talented and experienced Data Engineer to join a leading organization in the industrial B2B and distribution sector. In this role, you will play a critical part in building and optimizing scalable data platforms to support data-driven decision-making and analytics initiatives. Join a dynamic and innovative team where your expertise will directly impact the organization’s growth and success.
Responsibilities
- Deliver on the data architects design and vision, ensuring successful implementation of use cases and operational excellence.
- Build and implement reusable frameworks for the data platform, ensuring scalability and efficiency.
- Enhance CI/CD pipelines for data and analytics projects to streamline workflows.
- Operationalize and maintain machine learning models to enable advanced analytics across the organization.
- Improve data access and usability for business users to facilitate self-service analytics.
Requirements
- Strong proficiency in SQL, Python, and Power BI.
- Familiarity with Apache Spark and parallel computing, with a solid understanding of core data engineering concepts like CDC and ETLs.
- Proven experience in building CI/CD pipelines for data and analytics initiatives.
- Experience with the Databricks platform and Machine Learning is highly advantageous.
- Excellent problem-solving and collaboration skills with a focus on operational efficiency.
Benefits & Perks
- Competitive salary: AUD 120,000 per year + superannuation.
- Opportunity to contribute to a growing and innovative data function.
- Work in a collaborative and forward-thinking environment.
- Professional development opportunities in advanced analytics and machine learning.
- Join a company committed to excellence and operational efficiency.
