AI Systems & Data Engineer at HyperFi designing Databricks pipelines and managing AI systems. Collaborating on data engineering tasks and optimizing workflows in a flexible tech environment.
About the role
- Cloud Data Engineer at Shift, focusing on building and operating data pipelines on Azure for Australian SMEs. Collaborating across teams to enhance data integration and quality.
Responsibilities
- Build, run, and maintain robust data pipelines using Azure Data Factory in production
- Enhance and support seamless data integrations between internal systems and third-party SaaS platforms
- Develop and optimize SQL-based data stores, focusing on table design, indexing, and performance tuning
- Help introduce Microsoft Fabric components (such as pipelines and data agents) as we level up our platform
- Monitor, troubleshoot, and resolve pipeline or data quality issues to keep things running smoothly
- Maintain cloud data stores for analytics, automation, and AI-driven workloads
- Support the integration of curated datasets into downstream AI and automation tools
- Contribute to key data architecture decisions, design patterns, and platform standards
- Collaborate closely with technology, data, and business teams to deliver solutions that make a difference
Requirements
- Bachelor’s degree in computer science or an equivalent qualification
- 3–6 years’ experience in data engineering, analytics engineering, or cloud platforms
- Hands-on experience with Azure Data Factory and operating Azure data pipelines
- Strong SQL skills—query optimization, table design, and performance tuning are your jam
- Experience integrating data from internal systems and third-party SaaS products
- Familiarity with Microsoft Fabric (such as pipelines, notebooks, or data agents) is a bonus but not essential
- Experience working with cloud data storage services in production (Azure SQL, Data Lake, etc.)
- Practical programming experience in Python or C# is advantageous
- Contributions to shared data platforms across teams or domains
- Ability to apply best architectural practices in a governed cloud environment
- Experience supporting platforms that feed analytics, automation, or AI-driven projects is a plus.
Benefits
- Collaborative teams – a flat structure means everyone can learn from colleagues and senior leaders around the business.
- Be involved – come together with all of your colleagues every 100 days to share the product and technology roadmap and business strategy.
- Flexible working environment – we’re headquartered in North Sydney with state-based workplaces and offer a flexible work policy.
- Family support – industry leading 26 weeks paid parental leave.
- Purpose built spaces within our office – designed for collaboration, brainstorming, socialising, and focused work.
- Range of benefits supporting your physical, psychological and financial wellbeing. From a day off on your birthday to excellent end of trip facilities.
Job title
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