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    Data Engineer - Sydney, Australia - Woolworths Group Limited

    Woolworths Group Limited background
    Full time
    Description

    Data Engineer

  • Permanent role
  • Hybrid and flexible working environment
  • Sydney (Norwest) office location
  • 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:

  • 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.
  • 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:

  • 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.
  • Grow with the Group

    As an inclusive, team-first company



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