Senior Data Engineer

Melbourne (Hybrid) | Contract

Are you an experienced Data Engineer ready to take the next step into a leadership role? This newly created opportunity offers the chance to shape the data engineering capability within a leading Australian investment organisation, working at the cutting edge of cloud-based data solutions.

As a Senior Data Engineer, you'll provide technical leadership in building and maintaining enterprise-grade data pipelines, integrations, and investment reporting solutions. You'll play a pivotal role in driving the automation, centralisation, and distribution of investment data across the business, ensuring it informs critical decision-making.

This role focuses on the full data ecosystem - from source through to warehouse and reporting - while also driving best practice in DevOps, pipeline testing, and governance. You will work closely with investment and technology teams, mentoring peers and influencing the adoption of high-quality data engineering standards.

• Lead the design, build, and optimisation of data ingestion, transformation, and reporting pipelines.
• Deploy and support solutions in AWS cloud, using tools such as Lambda, Glue, Athena, Redshift, DynamoDB, and API Gateway.
• Collaborate with architects and stakeholders to translate investment data requirements into fit-for-purpose solutions.
• Provide technical oversight, code reviews, and mentorship to other developers.
• Champion automation, test-driven development, and DevSecOps practices in data engineering.
• Support the delivery of enterprise-wide data initiatives and investment reporting projects.
• Build strong relationships with business teams to ensure data solutions align with strategic needs.

We're looking for a technically strong and business-savvy data engineer who thrives in a fast-paced environment and has the ability to influence, mentor, and lead.

Essential skills & experience

• Advanced experience with SQL as well as proficiency in programming languages (preferably Python and R).
• Strong background in data engineering, including ETL, warehouse solutions, and complex data modelling.
• Experience in AWS cloud environments and building REST API integrations.
• Proven ability to analyse complex data sets, identify anomalies, and deliver high-quality reporting and insights.
• Excellent communication skills with the ability to engage stakeholders and present technical solutions clearly.

Desirable

• Exposure to investment data platforms (e.g. risk/performance systems, portfolio management systems, Bloomberg, Eagle, Markit, Golden Source).
• Knowledge of financial instruments (equities, fixed income, debt/loans, derivatives, property, infrastructure).
• Experience with data governance frameworks (e.g. DMBOK) and emerging data technologies (visualisation, strategy, rationalisation).
• Familiarity with Python frameworks (Django, Flask, Bottle).

• A senior seat at the table in building world-class data engineering solutions.
• Hybrid working model with flexibility to balance career and lifestyle.
• Strong professional development pathways, including industry certifications and conference participation.
• An inclusive and values-driven culture that champions collaboration, continuous learning, and innovation.

To be considered for the role click the 'apply' button or for more information about this and other opportunities please contact Yash Jain on or email and quote the above job reference number.

Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details.