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Senior Data Engineer

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Summary

Senior Data Engineer for a leading Australian financial institution in Melbourne (hybrid), building scalable data pipelines, cloud data platforms and ETL/ELT processes that power analytics, reporting and business decision-making. Core stack includes Python, SQL, cloud platforms (Azure/AWS/GCP) and tools like Databricks, Snowflake, Spark or Airflow.

Job Description

Senior Data Engineer

Melbourne Hybrid 180,000 – 200,000 Super

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.

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