Data Engineer

• We make a difference, delivering outcomes for millions of members.
• Join a fast paced and growing team with a global reach.
• Flexible and inclusive work environment for all

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

Our Technology Services group delivers and supports technology infrastructure, projects and services for the Fund. Structured around a Plan/Build/Run model and supported by a Governance function, the team aims to provide a seamless technology experience that supports the organisation and our people in delivering great outcomes for our members.

We are seeking a Data Engineer who will be responsible for assisting in developing high quality Data artifacts and delivering Data Engineering capabilities at the Fund. This key role will be part of a wider Data Engineering capability and will work with other Data Engineers in building the Fund's Data Solution

Some key responsibilities but not limited to;

• Assist in the delivery of high-quality data solutions as part of the Data Engineering team.
• Liaise effectively with project team members, business stakeholders and external vendors to build strong partnerships to help create a collaborative, transparent, and high performing culture with a strong delivery mind set.
• Actively engage with the wider Engineering Practice to assist in uplifting overall capability, create a sense of community, drive continuous improvement
• Provide support to business application from the data consumption perspective.
• Troubleshooting performance issues and provide solutions for optimisation
• Monitoring, debugging for both streaming-based and batch-based ETL Pipelines
• Assist team members with code reviewing, change request peer review and knowledge sharing.
• Assist the leadership team with decisions regarding the Enterprise Data Platform

What you'll need

• Experience working in complex enterprise Data Environments
• Proven Engineering experience in Python, Spark, SQL and related languages.
• 2+ years' experience in designing and building advanced Data Pipelines and Data Warehouses at an enterprise scale.
• DevOps experience inclusive of creating CI/CD/CT pipelines for Data Engineering and analytics using Azure Devops.
• Experience in one or more of the following public Data cloud platforms, Azure Synapse, AWS Redshift, Google Cloud, with preference for Azure Cloud Synapse and ADF, ADB
• An understanding of dimensional data modelling techniques
• Database administration and management experience including but not limited to Microsoft SQL technologies.
• Strong developed interpersonal, negotiation, influencing and stakeholder management skills.
• Self-aware, resilient, and exhibit growth mindset

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 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

Apply now, if you share our values of Energy, Integrity, Generosity of Spirit and Excellent Outcomes and would like the opportunity to work in a challenging, growing and rapidly evolving team to deliver outstanding results.

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

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