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Open nowPosted 6 days ago

Senior Data Engineer

AustralianSuper26 open roles

Where
Melbourne, Australia
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Your applicationOpen nowSenior Data EngineerAustralianSuper · Melbourne, Australia

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on AustralianSuper's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. AustralianSuper postings stay open a median of 15 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 6 days ago

AustralianSuper median: 15 days open

The posting

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

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.

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One press. We do the rest.

  1. A CV for this posting

    Written against AustralianSuper's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on AustralianSuper's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    AustralianSuper's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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