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Data Engineer

Apply now Job no: 53632023
Brand: Australia Post
Categories: Corporate Services
Work type: Permanent Full Time
State: VIC
Location: Melbourne

Delivering 1.5 million parcels a day, having a workforce of over 70,000 and running Australia’s largest retail network - our business generates 1 billion data points a day from scanners, sorting machines, payroll, retail POS, finance systems and vehicle GPS. We receive close to 2 million inbound customer contacts a year and over 2 million NPS surveys.


Our Data Science team partners closely with business stakeholders to solve problems using advanced analytical techniques including statistical analysis and machine learning. They produce analytical solutions (models, visualisations, findings) and other interventions that improve decision making and business performance.


What it’s like to work here
A career at Australia Post Group can lead down many paths. There are a variety of roles to suit all sorts of skills and you will also have the chance to learn from the best people; everyone, everywhere, every day. For us, an engaging, enjoyable workplace is the foundation for great work which is why your attitude and your passion is just as important to us as your experience.


What does the role involve
Reporting to the Data Engineering Manager, you’ll work closely with internal teams to deliver data engineering solutions that enable data-driven insights for customers and commercial outcomes. In addition to this, the role is responsible for the smooth running of machine learning pipelines including automated testing and monitoring with a view to continual improvement of deployed models. Minor improvements and maintenance of the engineering platform to ensure the collection, management and smooth flow of quality and secure information will also be required.

You’ll also have the responsibility to 
Understand and drive execution of the Data Science & Data Commercialisation strategy, aligned to our enterprise Transformation & Enablement Strategy

  • Provide a regular contribution to technology innovation in the data science and data engineering domain to business and team members
  • Execute and refine a robust Machine Learning Operations pipeline to ensure models are responsive to changes and trends in the data
  • Identify and streamline legacy processes through automation and re-engineering
  • Provide technical expertise to Data Ops and Data Commercialisation teams
  • Be active participation in deployment and implementation activities for data engineering solutions, working closely with data operations to ensure a smooth transition of projects to BAU


What are we looking for

  • Bachelor's degree in Engineering, Computer Science or related IT qualification
  • Experienced in Python, scripting languages and pipeline automation tools such as Airflow
  • Excellent understanding of DevOps best practice
  • An understanding of Java, Django and/or Terraform is desirable but not compulsory
  • Experience with database administration including permission management as well as writing SQL
  • Experience with cloud computing required and GCP services, in particular, is desirable
  • Understands Agile methodology and intermediate understanding of software development principles
  • Fluent in data manipulation and visualization through the use of enterprise tools including Tableau and ETL software


Benefits & Culture
We offer an attractive salary and benefits in an equal opportunity workforce. We encourage applications from people of all ages, including indigenous Australians and those with a disability.

Together, our differences make us stronger

With a reach across Australia and beyond, we’re building a workforce that’s as diverse as the communities we serve. Learn more about how we're supporting inclusion at Australia Post, here. If you require adjustments at any stage of the recruitment process, please reach out to the Talent Acquisition Diversity Team at inclusivecareers@auspost.com.au.    

Australia Post welcomes applications from Aboriginal and/or Torres Strait Islanders. Check out this short video to find out how we acknowledge and pay our respects to the Traditional Custodians of the land we operate on.      

To register your interest with our passionate careers team, please click 'Apply Now' and please remember to upload your details and your most recent resume. #LI

Advertised: AUS Eastern Daylight Time
Applications close: AUS Eastern Daylight Time

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