Cloud Data Engineer

Who is Shift?

At Shift, we’re business specialists dedicated to helping Australian SMEs take control of their cashflow, streamline trade terms and choose the right financial products.

We believe Australian businesses are the driving force behind our economy and are core to our communities. That’s why our business expertise, focus on relationships, and market-leading technology is at the core of everything we do. We’ve helped solve the credit and payment pain points for more than 30,000 businesses, providing over $6 billion in aggregate funding.

Our unique approach to product innovation combined with our collaborative culture means you can build your career in a supportive environment. You’ll be joining a diverse team of over 300 people who are always looking to deliver better outcomes for Australian businesses.

About the role:

Are you ready to help power the future of data at Shift? As our Cloud Data Engineer, you’ll be right at the heart of building and operating reliable data pipelines on our Azure-based platform. You’ll bring structure, performance, and a creative touch as we evolve our data landscape, making everything from reports to cutting-edge AI magic possible! We’re passionate about building a team that celebrates diverse perspectives and collaboration as we transform data into real impact for our business and our customers.

What you’ll do:

• 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

What you’ll have:

• 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

Key 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.

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