Senior Data Engineer

Posted 6 Days Ago
Be an Early Applicant
Melbourne, Victoria, AUS
In-Office
Senior level
Financial Services
The Role
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.
Summary Generated by Built In

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.

Skills Required

  • Strong data engineering experience in complex, enterprise-scale data environments
  • Hands-on Microsoft Fabric experience and strong data modeling capability
  • Strong Python, Spark, and SQL engineering skills
  • Practical understanding of AI frameworks and AI applications in modern data engineering
  • Experience with large datasets and robust, scalable data solutions
  • Strong communication skills for engaging 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
  • Technical leadership, curiosity, and a growth mindset
  • Australian or New Zealand citizenship or Australian permanent residency
  • Experience applying agentic AI solutions to software or data engineering
  • Azure data platform experience, including Synapse, ADLS, or Azure SQL
  • Machine Learning experience
  • Financial Services or Superannuation experience
  • Agile delivery experience
  • Databricks and Spark experience alongside an understanding of Microsoft Fabric
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The Company
HQ: Melbourne
1,588 Employees
Year Founded: 2006

What We Do

AustralianSuper is for everyday Australians and businesses; we help invest members’ money to create the best possible retirement outcomes for members. More than 3 million members and 440,000 businesses trust us to invest more than AU$270 billion on their behalf. One in 8 working Australians are a member of AustralianSuper, the nation’s largest superannuation fund. Our size has given us the ability to leverage significant investment opportunities for long term performance and low fees that are passed on to our members. With services and advice that simplify super for business including a free clearing house, secure online transactions, dedicated relationship managers, education and help. It’s easy to see why we’ve been a top performing fund. ----------------------------------------------------------------------------------------- AustralianSuper is not responsible for other user's comments. We reserve the right to delete any comments that are not in line with our community standards. By participating in the AustralianSuper’s LinkedIn community, you agree to adhere to our House Rules: ausup.me/HouseRules ______________________________________________________________________________________ Investment returns are not guaranteed. Past performance is not a reliable indicator of future returns. Reference to any awards and ratings are only one factor to be taken into account when choosing a super fund. The information posted by AustralianSuper may be general financial advice which doesn’t take into account your personal objectives, situation or needs. Before making a decision about AustralianSuper, you should think about your financial requirements and refer to the relevant Product Disclosure Statement, available at australiansuper.com/pds or by calling 1300 300 273. AustralianSuper Pty Ltd ABN 94 006 457 987, AFSL 233788, Trustee of AustralianSuper ABN 65 714 394 898.

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