At a Glance
- Tasks: Design and develop scalable data solutions for high-impact financial initiatives.
- Company: Leading Australian financial institution with a focus on data engineering.
- Benefits: Competitive salary, hybrid work model, and strong investment in modern technologies.
- Other info: Collaborative culture with opportunities for professional growth.
- Why this job: Tackle large-scale data challenges and contribute to major transformation initiatives.
- Qualifications: 5 years' experience in data engineering with strong Python and SQL skills.
The predicted salary is between 123750 - 151250 $ per year.
A leading Australian financial institution is expanding its data engineering capability and is looking for an experienced Senior Data Engineer to join its Melbourne-based technology team.
You’ll work on high-impact data initiatives across a large-scale financial environment, building reliable data platforms and pipelines that support analytics, reporting, customer insights and business-critical decision making.
The Role
You’ll be responsible for designing, developing and maintaining scalable data solutions while working closely with data analysts, engineers, architects and business stakeholders. Key responsibilities include:
- Designing and developing scalable data pipelines and ETL/ELT processes
- Building and maintaining cloud-based data platforms
- Developing high-quality data models and transformation processes
- Integrating data from multiple internal and external sources
- Improving data quality, reliability and performance
- Working with stakeholders to translate business requirements into technical solutions
- Contributing to data architecture and engineering standards
- Supporting CI/CD and automated deployment practices
- Monitoring and troubleshooting data pipelines and production environments
- Helping drive modernisation of existing data platforms and processes
About You
You’ll ideally bring:
- 5 years' experience in data engineering
- Strong experience with Python and SQL
- Experience building production-grade ETL/ELT pipelines
- Strong understanding of data modelling and data warehousing
- Experience with cloud data platforms such as Azure, AWS or GCP
- Exposure to technologies such as Databricks, Snowflake, Spark or Airflow
- Experience working with APIs and integrating disparate data sources
- Understanding of CI/CD and modern engineering practices
- Strong communication skills and the ability to work with both technical and non-technical stakeholders
- Experience within banking, financial services or another highly regulated environment would be advantageous.
What’s On Offer
- 180,000 – 200,000 super
- Melbourne CBD
- Hybrid working environment
- Work on large-scale financial data platforms
- Strong investment in modern data and cloud technologies
- Opportunity to contribute to major data transformation initiatives
- Collaborative engineering culture
If you're an experienced Data Engineer looking for a role where you can work on genuinely large-scale data challenges within financial services, we'd be keen to hear from you. Apply now or reach out for a confidential discussion.
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