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March

Data Engineer - Home Loans

ANZ - Melbourne, VIC

IT
Source: uWorkin

JOB DESCRIPTION

Data Engineer - Home Loans Tribe
Location- Docklands, Melbourne

At ANZ our purpose is to shape a world where people and communites thrive, and to achieve this, we need two talented Data Scientists to join our Home Loans tribe. The Home Loans tribe is responsible for making great home loan experiences possible by reliably providing easy to use products and services. We’re passionate about simplicity and meeting the needs of our customers today, while innovating to delight them tomorrow.

Our scope is the design, manufacture and management of a simple range of home loan products to bring the customer proposition to life. In joining this Tribe, you will be working with a group of highly engaged, diverse and interesting people.

As a Data Engineer in the Home Loan tribe you will be responsible for designing and creating data processing solutions that enable value from analytic models to drive rapid decision making.

A key element of this is driving the data engineering agenda within the Home Loan Tribe, ensuring delivery of best practice end-to-end data engineering respecting ANZ architecture standards. You will challenge inefficient engineering practise in ANZ and influence change in your field to drive better business outcomes. To this end, in the role you will implement smart and relevant data engineering to drive E2E application delivery and support the uplift of data engineering capability in Home Loan Tribe, while linking in to the wider Enterprise Analytics roadmap.

What Might a 'day In The Life' Look Like

As a Data Engineer in our Forensics reporting squad, your role is to contribute to the development of the Forensics Strategic eco-system to ensure that our portfolio is healthy and that ANZ is meeting our Customer Promise.

  • Liaise with business stakeholders to understand requirements of the eco-system
  • Work collaboratively with stakeholders within and outside of your squad to build new components to the eco-system and transition tactical solutions into the eco-system
  • Source data from a variety of sources to combine, synthesise and automate to deliver the eco-system
  • Actively participate in daily standups, Sprint Planning, Showcases and Retrospective ceremonies
  • Support a fact-based culture throughout the bank through ensuring the eco-system has accurate data sourced from proven reliable sources.
  • Clearly communicate and present updates to technical and non-technological stakeholders
  • Educate and upskill the squad and chapter on data engineering applications and methods to improve efficiency and accuracy and service to our customers


What will likely be in your toolkit?
  • MS or BS in Computer Science, Engineering, Mathematics, Statistics or equivalent practical experience in Data Engineering
  • A strong background in data processing and software engineering and can build high quality, scalable data products
  • Strong Software Engineering experience with proficiency in at least one high-level programming language (Python, Java, Scala)
  • Experience and proficiency in at least one high-volume data processing environment (Teradata, Oracle, Cloudera, BigQuery or equivalent)
  • Extensive experience working within cross-functional, agile or continuous delivery teams
  • Strong ability to translate data insights into practical business recommendations
  • Experienced stakeholder management skills with ability to quickly synthesis business requirements across multiple disciplins into effective standard data product
  • Have a strong desire to mentor others and uplift the Data capability of our squad and data chapter
  • Proven data wrangling skills to quickly understand and validate different data sources to build effective, sustainable analytical assets


Advantageous
  • Background and experience in the financial services industry
  • Analytical and inquisitive mindset to continuously improve the delivery of data assets
  • Analytical & problem-solving skills to understand the complexity of our data
  • Thorough approach to detail, ensuring a high level of accuracy
  • You will have excellent interpersonal skills and the ability to build strong stakeholder relationships both internally and externally
  • Be able to navigate through ambiguity
  • Able to innovate data solutions that will meet current requirements while at the same time solve broader data challenges
  • You will have excellent interpersonal skills and the ability to build strong stakeholder relationships both internally and externally

You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture and we actively encourage people to try new things. So if this role interests you and you feel you have most of these things in your toolbox, we’d love to hear from you.

About ANZ

We’re reinventing the way we do banking, and our community of collaborative, innovative thinkers who create human centred solutions are helping us get there. We’re responding faster to changing customer requirements, focusing on the things that matter and helping people achieve incredible things - be it buying their home, building a business or saving for things big or small.

We support our people by providing a range of flexible working options so they can work in the way that best suits them. We encourage you to talk to us about your need for flexibility and any adjustments you may require to our recruitment process or the role itself.

We’ll also offer you the opportunity to develop your career, working in a diverse and inclusive workplace where the different backgrounds, perspectives and life experiences of our people are celebrated and create a great place to grow, thrive and belong.

Interested in joining us? Click Apply now, or visit www.anz.com/careers to find out more or view other opportunities.

Reference number AUS125606

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