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Data Engineer

vor 1 Monat

Melbourne, Österreich Mars Vollzeit

Job Description:

  • Define data engineering needs for the ANZ Enterprise Planning project
  • Hands on development on python, pycharm, spark to create standardised data assets
  • Mars Petcare Australia home to market leading brands such as PEDIGREE®,  DINE® & WHISKAS®
  • 12 Month fixed term contract based from our Melbourne office

Here at Mars Petcare Australia, home of great brands such as Pedigree, Dine and Whiskas, we’re guided by our Purpose: A BETTER WORLD FOR PETS. 

A proud regional manufacturer in Australia for over 55 years, we product some of Australia’s best loved pet food in our facilities in Wodonga, Bathurst and Wacol. 

We’re looking for a Data Engineer to join the ANZ Data & Analytics team to support the delivery of our transformational Enterprise Planning programme.

You’ll partner with global Supply Chain Data Engineering team to adopt global best practice planning data models and data engineering standards for ANZ.

What is the Integrated Supply Chain Transformation Program?

Our ambition In ANZ is to become a truly Digital business, obsessed with focus, execution and winning. To do this, we are driving a significant Supply Chain Digital Transformation, building strong data and digital foundations to power advanced analytics, robotics and automation that transforms how we PLAN, MAKE and DELIVER in ANZ.

The Enterprise Planning programme will transform how we PLAN product in ANZ.

It is a wide ranging programme to reset our Enterprise Planning approach across ANZ, build strong data foundations for planning and leverage these to drive improved reporting and demand sensing.

What would be your key responsibilities?

  • Define ANZ Enterprise Planning data engineering project needs in collaboration with the Enterprise Planning team and global Supply Chain analytics team
  • Hands on development on python, pycharm, spark to create standardised data assets, reports for planning business insights and optimisation models
  • Engage and collaborate with data and IT owners across Mars to drive data quality and availability, and ensure data improvement plans in place and support effective governance of Enterprise planning data

Qualifications and Experience:

  • Must have - Degree level in data engineering related subject. Nice to have – Post-graduate qualifications in computer science, data engineering or related 
  • Technical expertise in Big Data Tech Stack and experience in database and data engineering capabilities
  • Understanding of database designs, analytics and BI platforms with Big Data
  • Including use of cloud platforms like AWS or Azure, technologies across traditional and contemporary software (e.g. SQLServer, Hadoop, NoSQL DB), programming languages such as SQL, Python, Scala, R and visualization tools
  • Effective communication skills and ability to interact effectively with internal stakeholders to identify business problems.
  • Good problem-solving skills.
  • Experience with Supply Chain, Planning and Forecasting data

What can you expect from Mars?

  • Best-in-class learning and development support from day one, including access to our in-house Mars University. 
  • Global health and wellbeing program to support flexibility and work-life balance. 
  • Opportunity to make a difference with our volunteer and ambassador programs. 
  • Be part of a company that is contributing to making the world a better place today and every day through on our sustainable generation plan. 
  • A culture that offers collaboration, leadership and rewards you for the role you play within Mars. 

Internal applicants: This role has been graded as a T1 opportunity and will be offered as a 12 Month Assignment.  Prior to applying, please discuss your application with your Line Manager including obtaining their endorsement.

Applications will close on: Sunday 9th of June, at midnight AEST.

Please note: This opportunity is a 12 Month fixed term contract opportunity.  

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

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