Senior Data Engineer

Australian Super; Melbourne; Hybrid; AUD 140,000 - 190,000; Full time

Job summary

AustralianSuper in Melbourne is seeking a Senior Data Engineer to build AI-first data capabilities using Microsoft Fabric and modern data technologies. You will design and engineer high-quality data solutions with Python, Spark and SQL, handling massive datasets to support better outcomes for members.

You'll have opportunities to work with state-of-the-art technologies, explore AI-driven engineering approaches, and grow through substantial learning and development investments.

Qualifications

• Data Engineer with enterprise-scale data experience.
• Hands-on Microsoft Fabric experience; familiarity with Databricks/Synapse is a plus.
• Strong Python, Spark and SQL engineering skills.
• Practical understanding of AI frameworks and applications in data engineering.
• Experience with large, complex datasets and robust data solutions.
• Good communication with technical and business stakeholders.
• DevOps experience including CI/CD in Azure DevOps.
• Understanding of data security, privacy and governance.
• Curiosity, leadership mindset and a desire to learn.

Responsibilities

• Own end-to-end design and delivery of scalable data pipelines and models.
• Apply AI, automation and agentic approaches to accelerate data engineering.
• Work with massive datasets to deliver reliable data solutions.
• Embed governance, privacy and security controls into solutions.
• Build engineering capability via DevOps, CI/CD, automation and standards.
• Partner with stakeholders to shape requirements and manage delivery expectations.
• Provide technical leadership and coach engineers.

Skills

Microsoft Fabric

Python

Spark

SQL

AI frameworks

DevOps

Data security & governance

Stakeholder communication

Technical leadership

Tools

Databricks

Synapse

Azure DevOps

Job description

Senior Data Engineer

• Permanent, full-time position
• Flexible, hybrid working environment
• Build AI-first data solutions using Microsoft Fabric and modern data technologies

At AustralianSuper, we truly care about our colleagues. We know work and life are intertwined. That's why we support the diverse needs of everyone and have policies that enable us all to thrive and be truly flexible. We ensure diversity is celebrated for the opportunity it provides us all to learn and grow and deliver better outcomes for members.

Your New Role

Are you a Data Engineer excited by AI, modern data platforms and the opportunity to work with genuinely large-scale enterprise data?

As Senior Data Engineer, you'll join a stable, high-performing team building the next generation of AustralianSuper's data capabilities. You'll design and engineer high-quality solutions using Microsoft Fabric, AI, Python, Spark and SQL, working with massive datasets that ultimately help us deliver better financial outcomes for members.

You'll have the opportunity to work with state-of-the- art technology, explore AI and agentic approaches to engineering, and broaden your expertise through significant investment in learning and development. You'll also demonstrate technical leadership, coaching other engineers and taking ownership of high-quality engineering outcomes.

What You'll Do

• Own the end-to-end design and delivery of scalable data pipelines, models and reusable solutions using Fabric and modern Azure technologies.
• Apply AI, automation and agentic approaches to accelerate and improve data engineering and code development.
• Work with large, complex datasets to deliver reliable, high-quality data solutions.
• Embed security, privacy, data quality and governance controls into solutions, and identify and manage technical and delivery risks.
• Build engineering capability through DevOps, CI/CD, automation, peer review and strong development standards.
• Partner with business and technology stakeholders to shape complex requirements, challenge assumptions and manage expectations throughout delivery.
• Provide technical leadership and coaching while helping continually evolve data engineering practices.

What You'll Need

• Strong Data Engineering experience within complex, enterprise-scale data environments.
• Hands-on Microsoft Fabric experience, including strong data modelling capability. Candidates with strong Databricks, Synapse and Spark experience alongside an understanding of Fabric will also be considered.
• Strong Python, Spark and SQL engineering skills.
• Practical understanding of AI frameworks and how AI can be applied within modern data engineering.
• Experience working with large datasets and designing robust, scalable data solutions.
• Strong communication skills with the ability to engage technical and business stakeholders.
• DevOps experience, ideally including CI/CD pipelines and Azure DevOps.
• Understanding of data security, privacy and governance in a regulated environment.
• Curiosity, technical leadership and a growth mindset with a desire to continually explore new technologies.

Highly regarded:

• Experience applying agentic AI solutions to software or data engineering.
• Azure data platform (e.g. Synapse, ADLS, Azure SQL) and Machine Learning experience.
• Financial Services or Superannuation experience.
• Agile delivery experience.

Life at AustralianSuper

AustralianSuper is committed to colleague development, and we support our people with ongoing learning, coaching and training, as well as career opportunities across our expanding global organisation. We offer generous leave entitlements and promote a blended working environment in which all roles can flex, and we're happy to discuss what this looks like for you.

We cultivate a workplace that champions safety, respect, inclusiveness and diversity. We are committed to supporting our diverse workforce in a way that is inclusive and embraces diversity in all its forms. If you require any reasonable adjustments to the recruitment process or the role, please let our recruitment team know.

What's Next

Australian or New Zealand citizenship or Australian permanent residency status is required.

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