Wisr is committed to building a supportive, inclusive and diverse workplace, and we strongly encourage applications from all backgrounds and identities. We’re happy to accommodate any reasonable adjustments to the interview process to ensure equal opportunity for all. If you require reasonable adjustments, please reach out to us via [email protected].  

Our Why, What and How 
We are a proudly purpose-led ASX-listed fintech on a mission to bring people closer to financial wellness and make a real difference in the world, starting right here in Australia. By building products and experiences designed to have a positive impact on the financial health and lives of our customers, we are inching ever-closer to achieving our purpose. 

We offer smarter, fairer loans that help people kick their goals sooner. Wisr App, awarded Winner of WeMoney's 2024 & 2025 'Best Mobile Experience', makes loan self-service easy and offers free financial wellness tools including credit scores, round ups, money hacks and more..

The better we do this, the more positive change and impact we can have on our customers. Now is the time to join one of Australia’s fastest growing fintechs and make an impact.

We are a people first business and value flexibility as part of our work - our team works in a hybrid working environment, 3 days per week in our beautiful office space. 


About the Job

This role will be supporting Wisr’s ongoing effort to modernise and evolve the data platform as we continue to scale and grow. As a key member of the Data Engineering team, you will bring strong data infrastructure and modelling capability, coupled with hands-on experience building data pipelines in a Lambda architecture.

You'll play a crucial role in supporting the development of our data models and pipelines, helping us to build a world-class data platform that serves the entire organisation. 

By collaborating closely with various internal stakeholders including your fellow data engineers, Product Managers, Developers and cross-functional teams including Operations and Marketing, you will play a pivotal role in ensuring seamless data integration, processing, and analytics.

What You’ll Do: 

• Design and build scalable pipelines and data models that enable insight generation, experimentation and rapid iteration within the Data Squad
• Own and evolve the data stack supporting product development (e.g. dbt, SQL, Python, orchestration, observability)
• Ensure high standards of data quality, reliability, and performance, especially in experimental environments
• Develop and maintain robust documentation, schema management, and lineage tracking to ensure transparency and traceability
• Forming a deep understanding of our data processes and helping to improve it through implementing best practices
• Staying on top of any failures and issues in our data systems, troubleshooting, proposing improvements and implementing fixes

About You

With hands-on experience across modern data architectures, you bring deep expertise in building robust data pipelines, developing scalable data models, and managing data workflows end-to-end. You’re passionate about data and thrive on the challenge of ingesting, transforming, and integrating complex datasets from multiple sources. You take pride in seeing your work translate into real business outcomes.

You are confident working with technologies such as Python, SQL, dbt, and orchestration tools like Airflow. Experience with cloud platforms (AWS, GCP, or Azure), modern data warehouses (e.g. Snowflake, BigQuery, Redshift), and event-driven or streaming data systems (e.g. Kafka, Kinesis) is highly desirable.

You’ll also have: 
• 3+ years in data engineering or full-stack data roles
• Tertiary qualifications in Computer Science, Engineering, or a related technical field
• Demonstrated ability to take ownership of projects, collaborate cross-functionally, and work independently in dynamic environments
• Good understanding of SQL and Python for data transformation, scripting, and orchestration
• Experience with dbt, CI/CD for data, version control, and software engineering best practices
• Good understanding of data modelling frameworks, including dimensional modelling, data mesh, data vault, and star/snowflake schemas
• Good understanding of data orchestration / ETL tools such as Apache Airflow, Azure Data Factory, etc
• Experience with major cloud data warehouse or lakehouse platform (e.g. Snowflake, Databricks, BigQuery)
• Familiarity with Docker, Kubernetes (especially AKS), and deploying data services in containerised environments
• A good grasp of data quality, governance, and observability principles
• Experience enabling real-time analytics and streaming data architectures

Desirable / Nice to Have
• Experience in or strong interest in the FinTech or financial services domain
• Experience building ML / MLOps pipelines would be a plus
• Certifications such as Azure Data Engineer Associate
• Exposure to domain-driven data architecture or data mesh implementations
• Experience with real-time data pipelines using tools like Kafka, Flink, or Azure Stream Analytics

Some of Our Perks & Benefits
• Flexible and hybrid working
• $500 every year to spend on your wellbeing
• Take an extra Annual Leave day off on us every financial year, with A Day on Wisr
• Access via WHEREFIT to discounted gym memberships, corporate discounts for wellbeing products and more!
• Generous paid parental leave to support your transition to parenthood
• Unlimited Udemy access to learn new skills
• Regular social events and awesome team offsites
• Access to our Employee Assistance Program, Uprise with up to 6 coaching sessions per year

Working at Wisr
As a purpose-led organisation on a mission to bring people closer to financial wellness, we truly believe in what we do and every person who joins our team plays a part in our success. By practising what we preach (hello, $500 wellness reimbursement, 1:1 coaching via Uprise and unlimited Udemy learning!), you are empowered to own your role, your development and the space that you play in.

We value psychological wellbeing and safety, fostering a high-performing culture which enables continuous learning and growth. Our hiring and interviewing process is designed for you to showcase your experience, skills and passion and take great pride in not just ‘ticking a box’. If this role resonates with you, we want to hear from you. 

Wisr Values
• Courageously ask, “What if?”: We challenge the status quo, and we know that decisions that make us smarter, stronger, faster, more innovative always start with a “What if?”.
• ❤️ for the customer: Our internal and external customers are at the center of everything we do. We genuinely have their best interests at heart.
• Smarter parts together: We believe the real magic happens when we bring together the right mix of Smart Parts and work as a team. 
• Be a stunning colleague: It’s not just about excelling in our roles, but also going the extra mile to make our colleagues and Wisr shine too. 
• Growth over comfort: We love learning, and we always find opportunities to learn something new whether it is facing a fear or pushing through something uncomfortable to level up. 

We are dedicated to creating an amazing candidate journey for every applicant. There's no 'shouting into the void' here. We're committed to responding to every single applicant.