Senior Data Engineer
WeMoney
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Senior Data Engineer
Revolutionise Financial Data Pipelines & Empower Millions to Achieve Financial Freedom
Personal finance is broken.
Ever wonder why people struggle to manage their finances effectively? Or why do young people struggle for decades or more to regain financial stability after financial missteps from their youth? At WeMoney we wonder that too and it keeps us up at night. This problem on the surface was for a long period thought of as intractable, too difficult to solve, or “just the way it is”, but at WeMoney, we felt that this status quo was unacceptable.
We believe that something needs to exist to allow everyone to take control of their financial destiny. Our mission is to simplify and automate financial management, making it accessible and understandable for all, regardless of their background or education, and helping our members break the cycle of financial insecurity and build a brighter, more secure future.
Are you insanely curious about this problem and WeMoney? Then we’d love to connect with you.
Your Opportunity
As our Senior Data Engineer, you’ll be the lynchpin of WeMoney’s data-driven success. You’ll architect and manage end-to-end data pipelines that harness frontier performance techniques—enabling real-time supply-demand matching, powering personalised experiences, and equipping our Product, AI/ML, and team members to create life-changing features for millions of Australians. You’ll also ensure that data integrity, security, and compliance remain at the forefront.
This is a mission-critical role with a significant social impact—your work will help Australians to reach their aspirations sooner.
What You’ll Do
Design & Implement Modern Data Architecture
- Develop and refine scalable, high-performance data pipelines that collect, transform, and load data from diverse sources (e.g., transactional systems, 3rd-party APIs, event streams).
- Champion a robust infrastructure (AWS, GCP, or Azure) leveraging containers, serverless, and microservices for fault-tolerant data workflows.
Empower AI, Analytics & Personalisation
- Collaborate with ML Engineers and Data Scientists to ensure data readiness for personalised recommendations, predictive forecasting, and reinforcement learning models.
- Build and maintain real-time streaming solutions (e.g., Kafka, Kinesis, Spark Streaming) enabling instant financial insights for our members.
Focus on Data Quality & Protection
- Implement best-in-class data governance practices to meet CDR, privacy, and regulatory requirements in a high-stakes fintech environment.
- Leverage tools (e.g., Great Expectations, DBT, Airflow) for data validation, monitoring, and lineage tracking to maintain consistent, reliable datasets.
Unlock Supply-Demand Innovations
- Develop the backbone for supply-demand matching algorithms—ensuring seamless integration between data streams, ML models, and user-facing applications.
- Collaborate on advanced schema designs that capture, unify, and transform complex financial data, paving the way for revolutionary product features.
Optimise Data Infrastructure & Performance
- Use cutting-edge database and storage solutions (NoSQL, columnar, time-series) to maximise throughput and minimise latency.
- Drive continuous improvement in data engineering by introducing new tools, automating processes, and enhancing performance benchmarks.
Mentorship & Collaboration
- Work closely with junior and mid-level data engineers, providing guidance on best practices and career development.
- Act as a technical liaison across Product, AI, and Analytics—demystifying complex data structures and enabling swift, informed decisions.
Contribute to Mission-Critical Impact
- Ensure every data pipeline and model integration reflects WeMoney’s commitment to positive financial outcomes for our members.
- Champion resilience, scalability, and innovation in every project, solidifying WeMoney as an industry-leading fintech platform.
What we’re looking for
Technical Mastery in Data Systems
- 5+ years in data engineering roles, with a track record of delivering large-scale, real-time data pipelines.
- Proficient in Python, SQL, and frameworks like Apache Spark, Kafka, Kinesis, or Flink.
- Experience with cloud-based architectures (AWS, GCP, or Azure) and modern deployment strategies (Docker, Kubernetes, Terraform).
Deep Understanding of ETL/ELT and MLOps
- Skilled in building CI/CD pipelines for data jobs, ensuring reliable updates and smooth rollouts.
- Familiarity with feature stores, model versioning, and data transformations for machine learning workflows.
Passion for Data Integrity & Compliance
- Knowledge of CDR regulations, privacy laws (e.g., GDPR), and security best practices—key for working in highly regulated fintech environments.
- Expertise in setting up data catalogues, lineage tracking, and compliance monitoring tools.
Problem-Solving & Innovation Mindset
- History of solving complex real-time data challenges, from supply-demand to user personalisation scenarios.
- Thrives on exploring emerging technologies and finding creative ways to handle big, fast-moving data sets.
Collaboration & Communication
- Apt at translating technical intricacies into actionable insights for Product, AI, Analytics, and Design teams.
- Welcomes diversity of thought and is eager to cultivate a growth-oriented data culture.
Mission-Driven Focus
- Excited by the purpose driven role of preventing promoting long-term wellness for WeMoney’s members.
- Sees data engineering as a path to genuinely impact lives by empowering better financial decisions at scale.
Why Join WeMoney?
- Impactful Work: Every design decision contributes to changing the financial futures of our members.
- Supportive Team: Join a culture that values growth, excellence, and transparency.
- Growth Opportunities: Competitive salary, equity options, and ongoing professional development.
- Purpose-Driven: Be part of a mission that’s making financial freedom a reality for everyone.
Ready to Make an Impact?
If you’re driven by a purpose larger than yourself and excited to design the future of personal finance, we’d love to hear from you. Together, let’s transform the way Australians manage their money.
This role is in-office, in-person in Perth, WA (Relocation assistance available for the right candidate)
Apply Now and join a team that’s creating a brighter financial future for every Australian.
About WeMoney
WeMoney is Australia’s leading social financial wellness platform aimed at helping Gen Z and Millennials achieve their money dreams including crushing debt and achieving home ownership. Launched in 2020, WeMoney has over 1,000,000 downloads helping Australians from all walks of life make their financial lives easier and less stressful.
WeMoney is a pioneering force at the forefront of Australia's Consumer Data Right (CDR) initiative, a significant component of the country's digital infrastructure. The CDR is revolutionising the financial landscape by empowering consumers with greater control over their data. As a key player in this transformative movement, WeMoney is driving innovation and shaping the future of Australia, and Australians.
We’re a team of passionate individuals who are committed to solving some of the biggest challenges in personal finance, in a supportive high-performance environment. We are honoured to be of service to the millions of our young Australian members who seek hope that their financial lives can change for the better.
WeMoney is a multi-award winning Fintech organisation having won awards from peak Fintech bodies such as Fintech Australia, Fintech Awards, Pause Awards and also recognised as Amplitude’s Next Hottest Products.
https://www.wemoney.com.au/join-us
This job is no longer accepting applications
See open jobs at WeMoney.See open jobs similar to "Senior Data Engineer" FinTech Australia.