Data Engineer

Who is Shift

At Shift were 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. Thats why our business expertise focus on relationships and market-leading technology is at the core of everything we do. Weve helped solve the credit and payment pain points for more than 30000 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. Youll 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 Data Engineer youll be right at the heart of building and operating reliable data pipelines on our Azure-based platform. Youll bring structure performance and a creative touch as we evolve our data landscape making everything from reports to cutting-edge AI magic possible! Were 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 youll 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 youll have:

• Bachelors degree in computer science or an equivalent qualification

• 36 years experience in data engineering analytics engineering or cloud platforms

• Hands-on experience with Azure Data Factory and operating Azure data pipelines

• Strong SQL skillsquery 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 were 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.

#LI-Hybrid

Required Experience:

IC