Data Engineer Lead

Key Skills

Apache Hadoop, Big Data Technology, Data Analytics, Data Engineering, Data Visualization, Database, Design, Effective communication skills, IT, Leadership Skill, NoSQL, Python Programming, R Programming, Scala Programming, SQL Server, Supply Chain Management

Job Description

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 Smart Factories program will transform how we MAKE product in ANZ. It is a wide ranging program to build strong manufacturing data foundations and leverage these to optimise our factory operations now and In the future. 

What would be your key responsibilities?

• Define ANZ Smart Factory data engineering project needs In collaboration with the Smart Factory team and global Supply Chain analytics team

• Hands on development on python, pycharm, spark to create standardised data assets, reports for factory 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 Factory data

• Harvest and maintain semantic and smart data layer and ensure holistic leadership of the data solution within the environment

Qualifications and Experience:

• Degree level in data engineering related subject  

• Post-graduate qualifications in computer science, data engineering or related  (desirable)

• Professional qualifications in advanced data design, big data (nice to have)

• Technical expertise in Big Data Tech Stack and experience in database and data engineering capabilities

• Rich heritage in designing and building databases, 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

• Excellent communication skills, and interact effectively with internal stakeholders

• Experience with Supply Chain and Manufacturing data (preferable)

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. 

Applications will close on Sunday the 24th of December at midnight AEST.

Please note:

This opportunity is a 2-year fixed term contract opportunity. There may be relocation on offer for selected candidates. 

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.