AustralianSuper Logo

AustralianSuper

Senior Data Engineer

Posted 2 Hours Ago
Be an Early Applicant
In-Office
Melbourne, Victoria, AUS
Senior level
In-Office
Melbourne, Victoria, AUS
Senior level
Design and deliver scalable data pipelines, models, and reusable solutions using Microsoft Fabric and Azure technologies. Apply AI, automation, DevOps, security, privacy, governance, and data-quality practices to large enterprise datasets. Partner with stakeholders to define requirements, manage delivery risks, and produce reliable data solutions. Provide technical leadership, coach engineers, and advance data engineering standards and practices.
The summary above was generated by AI

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

If you’re ready to bring your energy, integrity, generosity of spirit and passion for excellent outcomes to a team building the future of AI-enabled data engineering at AustralianSuper, apply now!

 

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

 

Progress powered by purpose.

 

https://www.australiansuper.com/careers/candidate-privacy-notice

 

AustralianSuper may use AI to review resumes and conduct initial phone interviews. This involves processing your resume, cover letter, and voice recording in Australia and the USA to help assess your suitability for the applied role. When invited to an AI phone screening, you may opt for a traditional phone screening instead.

HQ

AustralianSuper Melbourne, Victoria, AUS Office

Melbourne, Australia

Similar Jobs

Yesterday
Hybrid
Melbourne, Victoria, AUS
Senior level
Senior level
Healthtech • Professional Services • Social Impact
Leads the design, development, optimization, and support of enterprise data platforms using Microsoft Fabric. Builds scalable batch and real-time pipelines, medallion architectures, data transformations, governed cloud solutions, and reporting infrastructure. Oversees performance tuning, security, disaster recovery, monitoring, and production support while providing technical leadership, mentoring, and stakeholder engagement across data modernization and transformation initiatives.
Top Skills: Azure Data FactoryAzure SqlDataflows Gen2Infrastructure-As-CodeLakehouseMicrosoft FabricMicrosoft Sql ServerOnelakePower BIPowershellPysparkPythonSemantic ModelsSparkSQLWarehouse
29 Days Ago
Hybrid
Melbourne, Victoria, AUS
Senior level
Senior level
Software
Partner with data domain and product owners to build trusted, AI-ready data products. Coach teams on data ownership, governance, lifecycle management, quality, observability, and data-as-a-product practices. Translate enterprise standards into practical delivery guidance, identify cross-domain opportunities, communicate data health and business value, and provide feedback to platform teams. The role combines hands-on data engineering with stakeholder management, capability uplift, and influence across a federated environment.
One Month Ago
Hybrid
Melbourne, Victoria, AUS
Senior level
Senior level
Information Technology • Software • Database • Analytics • Consulting
Designs and delivers modern data and analytics solutions for clients, including data pipelines, models, databases, integrations, dashboards, and visualisations. The role covers discovery through implementation, testing, deployment, support, and client adoption. It requires direct stakeholder engagement, technical solution design, strong SQL and data engineering practices, project planning, and knowledge transfer across varied cloud and client environments.
Top Skills: DatabricksEtl/EltGCPSnowflakeSQL

What you need to know about the Melbourne Tech Scene

Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account