Junior Data Engineer - Sydney at Graincorp Operations Ltd

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

0.0

Posted On

10 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Pipeline Architecture, ELT Processes, Data Modelling Principles, Relational Databases, Data Warehousing, Big Data Tools, Spark, Hadoop, Cloud Technologies, Databricks, Azure, AWS, GCP, Version Control Systems, Data Governance

Industry

Food and Beverage Manufacturing

Description

Role: Junior Data EngineerLocation: SydneyWhat did you have for breakfast today? Whether it’s the flour in your toast or the grain in your cereal, it’s highly likely that GrainCorp helped get it onto your plate! As we find new ways to connect rural communities with food, animal feed, and industrial customers around the world, we’re proud to be leading the way in sustainable agriculture.What our team says: “In a short span of time working at GrainCorp, I was promoted from Junior to Intermediate Data Engineer. A testament to the company’s recognition of initiative and impact. The supportive team culture and leadership not only celebrate growth but actively create space for it.” GrainCorp is currently seeking a Junior Data Engineer to join our team at our Barangaroo office. This role will work with a motivated and collaborative team to delivery data, infrastructure and platform activities to support advanced analytical use cases and reporting success. The responsibilities of the role include: Transform design and product vision into working solutions for end users, fostering a culture of sharing, reuse, scale stability, and user-first design. Design, develop, optimize, and maintain data engineering solutions for analytical use cases including architecture, data products/pipelines, and infrastructure using industry best practices. Stay up to date with new techniques and apply evolving industry standards to individual projects. Support continuous team growth. About your experience: Candidates will be able to demonstrate experience working on data engineering solution delivery with collaboration with other teams. Candidates will also display: Previous data, software or system engineering experience. Proficiency in Python is a must. Foundation data engineering concepts including Data pipeline architecture and ELT/ELT processes Knowledge of data modelling principles Familiarity with relational databases and data warehousing concepts Exposure to big data tools frameworks such as Spark, Hadoop etc Familiarity with either Databricks or other cloud technologies such as Azure, AWS, GCP Knowledge on version control systems and collaborative development workflows Awareness of data governance principles such as data quality and data lineage Other desirable skills: Power BI, web app development, IoT, exposure to orchestration tools, basic experience with APIs for data integration Bachelor’s degree in STEM What we offer: Professional development & leadership programs Hybrid work and flexible leave options including birthday leave Health & wellbeing support Inclusive, values-driven culture We’re proud to be a Family Inclusive Workplace accredited employer, supporting balance, care and flexibility in every career Overall satisfaction in Advanced Analytics team employee survey for last two years are both more than 90%, most highlighted keywords from current employee survey about team includes “Recognition, supported and collaboration” Ready to apply? It’s simple — submit your application. If your background aligns, our team will be in touch for a quick chat about your experience. We’re looking forward to getting to know you! Progressed candidates will be required to provide proof of working rights and suitable professional referees.

Responsibilities

The Junior Data Engineer will transform design and product vision into working solutions for end users and design, develop, optimize, and maintain data engineering solutions for analytical use cases. The role involves fostering a culture of sharing, reuse, scale stability, and user-first design.