Data Engineer - Multiple Roles (4.1-4.4)

First a bit about ANZ
At ANZ, everything we do boils down to ‘why’ – our purpose – to shape a world where people and communities thrive. We're just as focused on seeing our people thrive as well as our customers. We'll give you every opportunity to develop your career.

We are responding faster to changing customer requirements, focusing on the things that matter the most, energising our people, eliminating waste and reducing bureaucracy.

ANZ has started to move to a new way of working, leveraging agile practices. To understand more about this new way of working and if this role is right for you, we strongly encourage you to take a look at The ANZ Way vimeo channel where you’ll find The ANZ Way animation and the New Ways of Working animation.

Your team’s mission?

The purpose of the Group Payments Tech Area is to transform Payments by fortifying existing platforms, simplifying and standardising processes and technology and by enabling our business through reusable end to end services.

As a Data Engineer, you’ll bring the following experience:

You will ensure Data is cleansed, reliable and performant data is made available on premise and cloud for reporting, analytics and operational use cases. You will be passionate about building secure, real time and highly available information systems that caters data to wide audience.

You will be a member of the Engineering Chapter and Data Engineering guild. As a member you will share ideas and knowledge and partner with your Chapter Lead to uplift the capability of the chapter.

Who are you?

• A team player – I know we only win if we all win. I recognise and value the different perspectives and skills my squad mates bring. It is not about being a hero but jumping in and contributing to the successful delivery of our mission
  
• The customer’s greatest fan – I demonstrate a thirst for better understanding the customer, defines the problem and develop solutions through their eyes
  
• A collaboration champion – I champion collaboration and builds the expertise, capabilities and engagement of team members that are embedded across multiple squads
  
• Comfortable being uncomfortable – I am comfortable with uncertainty and have the ability to effectively manage myself through ambiguity by making meaning, building relationships and creating clarity with my peers
  
• Continuous improvement junkie – I constructively challenge the status quo, I look for better ways of doing things and passionately advocate continuous improvement
  
• Committed to my own and other’s growth – I strive to stretch and grow myself and others by identifying my own development areas, seeking feedback and providing feedback to others to help them learn and grow everyday
  
• A Problem Solver – I am energised by tackling complex problems. I use my critical thinking, network, skills, knowledge, and available data to drive better outcomes for our customers and the bank
  
• Commercially and Tech curious – I have a wide-angled lens. I am curious about what’s happening in the external market and in emerging trends and innovations (technological and otherwise) and how we use this information to better inform our decisions and actions.
  
• Risk savvy – I build sustainable solutions that protect stakeholders and customers and proactively address risks by role-modelling improvements in the bank’s overall risk and control environment
  

What you bring to the role as a Data Engineer in Payments

• Improve the whole lifecycle (inception, design, development, testing, deployment, operation, monitoring and refinement) of systems and services.
  
• Always look for opportunities to automate.
  
• Monitor measure and maintain availability and health of our infrastructure and platform.
  
• Actively participate in system design and capacity planning.
  
• Advocate for changes that improve overall platform health and performance.
  
  

You will also have the following specialised skills:

• Knowledge on writing performant application on Spark (Java/Scala) with backends as Hbase, Hive and HDFS.
  
• Deep understanding of Unix, shell scripting and have experience in general purpose programming/scripting language (Python/Perl/Go).
  
• Hands on experience with frameworks on Hadoop that caters for Data Scientists, Developers and Data Analysts.
  
• Basic understanding of containerisation technologies (Docker) and cloud architecture is a must
  
• Extensive experience using NoSQL DBs including MongoDB/Cassandra/Hbase.
  

At ANZ we aim to create an inclusive environment where employee differences such as gender, age, culture, disability, sexual orientation, family and caring responsibilities and religion are valued.

We work flexibly at ANZ. Talk to us and let us know how this role can be flexible for you.”