Senior Data Engineer
Minchinbury, NSW, Australia
Full Time Senior-level / Expert USD 159K - 191K
Company Description
ALDI. Good Different.
With roots dating back to 1913, ALDI is proud to make a real difference to people across the world by offering top quality products for low prices. ALDI first entered the Australian grocery market in 2001 and has since grown to have almost 600 stores and 8 distribution centres in 5 states.
If you’ve ever shopped at ALDI you know we are not your average supermarket. We’re also not your average employer. ALDI is a place where you’ll find good people, good purpose and good opportunities. So you can work with a great team, feel great for making a real difference for everyday Australians and have a rewarding career.
It’s that simple. ALDI Good Different.
Job Description
An exciting opportunity for a Senior Data Engineer has become available to join the Process Mining & Automation (PM&A) team within the National IT department of ALDI stores, based in Prestons/Minchinbury NSW.
This is a full-time permanent position.
As a Senior Data Engineer your primary responsibilities are process related analytics and development of data driven solutions, specificity Process Mining, to support business processes within the ALDI system landscape (SAP). The roll enables end-to-end exposure to all local and international business streams i.e., Buying, Supply Chain, Warehouse, Stores, Finance and IT. You will utilise data to drive tangible cost saving or process improvement outcomes. Demonstration of excellent stakeholder relationships and strong understanding of the business processes will be a critical skillset for success in the role. Autonomy will be encouraged to identify opportunities and create robust data modelling solutions which future proof our visual representation of the key data logs from systems such as SAP S4, Manhattan, SAP TM. You will have a strong technical understanding of process mining and data visualisation capabilities.
What does the role look like?
- Supporting internal technical and business teams implementation of process mining, task mining and automation solutions
- Assume the role of technical data engineering lead for the execution and management of innovative projects in collaboration with process experts
- Conduct thorough data analysis, leveraging robust SQL skills to query and manipulate SAP Data
- Design, optimise and monitor data models and data connections (ETL) to build the best possible and real-time capable data architecture
- Work closely with business stakeholders to understand and analyse retail business process requirements within the SAP context.
- Appropriately prepare our internal data for current and future Machine Learning and AI use cases
Qualifications
- Proven project management experience with excellent verbal and written communication skills with the ability to engage non-technical stakeholder
- Experience with SAP Retail, preferably SAP S/4 HANA preferred
- Experience in the FMCG industry focusing on process improvement and data analytics is highly desirable
- Strong proficiency with SQL and Python, with demonstrated ability to develop data mining, data engineering and database management solutions
- High competency with reporting tools such as Tableau, Power BI and Celonis (desired)
- Excellent time-management skills whilst managing multiple priorities in a fast-paced environment
Additional Information
- Enjoy 5 weeks annual leave for pursuing your passions outside of work
- Enjoy the flexibility of hybrid work options
- Support during life’s most important moments including paid parental leave, including superannuation on parental leave
- Complimentary access to free physiotherapy to treat non-work related aches, pains or niggles
- Work with a company who has been recognised as an Employer of Choice every year since 2018 - 2023
- Access to wellness programs such as discounted gym memberships, discounted health insurance and much more!
Remuneration
- Transparent tiered salary range of $159,800 - $191,500 including Superannuation.
Tags: Architecture Data analysis Data Analytics Data Mining Engineering ETL Finance Machine Learning Power BI Python SQL Tableau
Perks/benefits: Career development Health care Parental leave Wellness
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