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About the Role

This role supports Wisr's ongoing effort to modernize and evolve the data platform as the company scales. As a key member of the Data Squad, you will bring strong data analysis, validation, reconciliation, and quality capabilities, coupled with hands-on experience building data pipelines across platform implementation and migration projects in a Medallion architecture. You will play a crucial role in supporting the quality and integrity of our data models and pipelines, helping to build a world-class data platform that serves the entire organization. By collaborating closely with various internal stakeholders, you will ensure seamless data integration, processing, and analytics.

Responsibilities

• Engage with business stakeholders to gather and translate data requirements into testable acceptance criteria and quality checks within the Data Squad
• Design and build scalable pipelines and data models that support data quality, reconciliation, and trusted insight generation within the Data Squad
• Own and evolve the data stack with a focus on data quality and testing practices, supporting platform delivery (e.g. dbt, SQL, Python, orchestration, reconciliation, validation, observability)
• Ensure high standards of data accuracy, integrity, and reliability — especially during platform migration and implementation in a Medallion architecture
• Develop and maintain robust documentation, schema management, and lineage tracking to ensure transparency and traceability
• Form a deep understanding of our data processes and helping to improve them through implementing best practices
• Stay on top of any failures and issues in our data systems, troubleshooting, proposing improvements and implementing fixes

Requirements

• Hands-on experience across modern data architectures, in data platform implementation and migration projects
• Strong skills in data validation, source-to-target reconciliation, and quality testing
• Experience working alongside data engineers on platform builds — validating pipelines, testing transformations, and ensuring data integrity before and after cutover
• Pride in being the quality gate between business expectations, engineering delivery, and business outcomes — ensuring alignment
• Confident working with SQL and Python for data analysis, validation scripts, and automated reconciliation
• Experience with modern data platforms such as Snowflake and transformation tools like dbt — particularly dbt tests, schema validation, and data quality checks is highly desirable
• Experience with data visualisation tools such as Tableau or Power BI to communicate findings to business stakeholders is a plus
• 3+ years working on data platform implementation, migration, or modernisation projects
• Demonstrated ability to take ownership of projects, collaborate cross-functionally, and work independently in dynamic environments
• Strong SQL skills — complex queries, reconciliation logic, row counts, sum checks, and data profiling
• Good working knowledge of Python for validation scripts, automated reconciliation, and data profiling
• Hands-on experience with dbt — dbt tests, schema tests, and custom data quality checks
• Experience validating data across platform migrations — source-to-target reconciliation, regression testing, and cutover validation
• Experience with major cloud data warehouse or lakehouse platform (e.g. Snowflake, Databricks, BigQuery)
• Good understanding of ELT/ETL concepts and medallion or layered architectures
• Experience with Tableau, Power BI, or similar visualisation tools
• Ability to work cross-functionally with engineers and business stakeholders

Skills

• Data analysis
• Data validation
• Data reconciliation
• Data quality
• Data pipeline building
• Platform implementation
• Platform migration
• Medallion architecture
• Data models
• SQL
• Python
• dbt
• Orchestration
• Validation
• Observability
• Schema management
• Lineage tracking
• Snowflake
• Databricks
• BigQuery
• Tableau
• Power BI

Location

• Australia

Work Type

• Hybrid working environment
• 3 days per week in office

Experience Level

• 3+ years working on data platform implementation, migration, or modernisation projects

Education Level

• Tertiary qualifications in Computer Science, Engineering, or a related technical field

Benefits

• Flexible and hybrid working
• $500 every year to spend on your wellbeing
• 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
• Unlimited Udemy access
• Regular social events and awesome team offsites
• Access to our Employee Assistance Program, Uprise with up to 6 coaching sessions per year

About the Company

• Wisr is 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.
• We are a people first business and value flexibility as part of our work.
• 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.
• We value psychological wellbeing and safety, fostering a high-performing culture which enables continuous learning and growth.
• Wisr Values: Courageously ask, “What if?”; ❤️ for the customer; Smarter parts together; Be a stunning colleague; Growth over comfort.

Equal Opportunity

• 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 careers@wisr.com.au.