Sydney | Hybrid
Profusion have partnered exclusively with Financial Services who are searching for a Senior Data Engineer to play a pivotal role in scaling a modern, cloud-based data platform and enabling data-driven decision-making across the organisation.
This is a newly created role within a growing Data & Analytics team, where you’ll take ownership of hands-on engineering, build robust data pipelines, and work closely with business stakeholders to onboard new data sources at pace.
Why this role?
- The business is rapidly onboarding new data sources across multiple functions
- Data engineering capability is critical to supporting analytics, reporting, and machine learning
- You’ll be a senior technical contributor and a trusted partner to the Head of Data
- Genuine opportunity to shape standards, reusable frameworks, and best practices
- Design, build, and maintain scalable ETL/ELT pipelines using a modern data stack
- Collaborate with business stakeholders to understand data needs and deliver practical solutions
- Own and support the cloud data platform, ensuring data is reliable, secure, and accessible
- Partner with Data Scientists to enable model development and deployment
- Optimise and maintain existing data workflows and infrastructure
- Contribute to internal capability building through code reviews, mentoring, and knowledge sharing
- New data sources are onboarded accurately, on time, and at scale
- Data pipelines are robust, well-documented, and production-ready
- Stakeholders trust and actively use the data platform
- Reusable components and frameworks improve team efficiency
- Data issues are identified early and resolved proactively
- Expert-level Python and SQL, with strong software engineering discipline
- Proven experience building data pipelines using tools such as dbt and Airflow
- Hands-on experience with Azure and cloud-native data platforms
- Strong experience with Snowflake or Databricks
- Solid understanding of data modelling, quality, lineage, and governance
- Experience working directly with business stakeholders
- Comfort operating autonomously and managing multiple priorities
Nice to have
- Experience in regulated or data-sensitive environments (e.g. financial services)
- Previous mentoring or technical leadership experience
- Work on a modern data stack with real business impact
- High level of ownership and influence over data engineering practices
- Collaborative, pragmatic team culture
- Hybrid working with a clear anchor day for connection
- Competitive remuneration including STI and employee share participation
