Unlocking Business Potential through Data Innovation
1 day ago
Businesses in Australia and New Zealand need professionals to drive innovation and continuous improvement. As a Data Engineer, you will build and support reliable data flows, ensuring integrity, quality, accessibility, and visibility across the landscape.
You will collaborate with a team of data engineers to improve standard methodologies and drive smarter decisions throughout the organization. Your work will help manage risk, unlock value, and drive a culture of continuous improvement and innovation in how we do data.
Key Responsibilities include:
- Designing, building, and supporting reliable, scalable data flows that are observable, governable, and aligned to evolving data standards.
- Preparing structured data and metadata for AI products and analytics, enabling insight across teams.
- Partnering with engineers, developers, data scientists, and analysts to ensure data infrastructure meets business needs.
Requirements include:
- Extensive experience in data solutions, technology tools, governance tools, cloud platforms, Python/Scala, and SQL.
- Familiarity with engineering practices such as TDD, clean code, CI/CD, and DevOps.
- Proven experience delivering reliable, efficient data infrastructure.
- Strong communication skills with a track record of working across business, tech, and data teams.
- Solid understanding of data quality, consistency, and governance requirements.
- Awareness of data needs for AI/ML and integration with MLOps tools and practices.
Bachelor's or Master's degree or equivalent experience in Computer Science, Data Science, Machine Learning, or a related field is highly desirable. Relevant certifications such as AWS Certified Machine Learning – Specialty are also valuable assets.
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