- Permanent role
- Hybrid and flexible working environment
- Sydney (Norwest) office location
- Design and develop scalable, reliable, and efficient data pipelines using GCP technologies such as BigQuery, Cloud Dataflow, Cloud Storage, and Pub/Sub.
- Architect and implement data models, schemas, and structures that support optimal data storage, retrieval, and analysis.
- Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and implement solutions that meet business needs.
- Optimise data workflows and ensure data quality, integrity, and security throughout the entire data lifecycle.
- Perform data modelling, schema design, and performance tuning to support efficient data storage and retrieval.
- Implement data governance practices and ensure compliance with Group Data Management policies
- Monitor and troubleshoot data pipelines, proactively identifying and resolving issues to ensure system stability and performance.
- Ensure data quality and integrity by implementing robust data validation, cleansing, and governance processes.
- Stay up to date with the latest advancements in GCP technologies and provide recommendations for adopting new tools and frameworks to enhance data engineering capabilities.
- Develop and maintain documentation for data engineering processes, workflows, and solutions.
- Proven experience in data engineering, with a focus on designing and implementing solutions on Google Cloud Platform.
- Strong proficiency in GCP services such as BigQuery, Cloud Dataflow, Cloud Storage, Pub/Sub, and Data Catalog.
- Solid understanding of data modelling, ETL/ELT processes, and data integration techniques.
- Proficiency in programming languages such as Python, Java, or Scala, with experience in writing efficient and scalable code.
- Experience with version control systems Git) and CI/CD practices.
- Familiarity with data governance, data security, and compliance frameworks.
- Ideally a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
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Data Engineer - Sydney, Australia - Woolworths Group Limited
Description
Data Engineer
About Woolworths
Woolworths Group is a food and everyday needs retailer united by the shared purpose of creating better experiences together for a better tomorrow. With more than 1,400 stores across its Woolworths Supermarkets, Countdown Supermarkets (New Zealand) and BIG W brands, and fast-growing eCommerce businesses, Woolworths Group is Australia and New Zealand's largest retailer. A top 10 company on the Australian Securities Exchange (ASX), Woolworths Group employs more than 180,000 team members and serves more than 20 million customers a week.
About the role
The Risk Analytics team helps the risk community across Woolworths Group use data to make risk-informed choices with confidence and helps them focus on what matters most. The team drives the organisation towards the effective use of data and analytics to support decision-making and early detection of issues across Woolworths Group
We are searching for a highly skilled Data Engineer with expertise in Google Cloud Platform (GCP) to join our dynamic team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data pipelines and infrastructure on GCP to support our organisation's data-driven initiatives.
Responsibilities will include, but are not limited to:
Who we are looking for
We are looking for an experienced Data Engineer, with proven technical capabilities, alongside excellent problem-solving skills and the ability to analyse complex data-related issues.
This role will work on a variety of data engineering projects within the risk team and will collaborate closely with data science and analytics team members.
Requirements:
Grow with the Group
As an inclusive, team-first company