Data and Analytics Engineer

2 weeks ago


North Sydney Council, Australia EG Australia Full time

Join to apply for the Data and Analytics Engineer role at EG Australia

Join to apply for the Data and Analytics Engineer role at EG Australia

  • Location: North Sydney 2060

ABOUT EG

Ideas are becoming a reality across the EG Australia national network as we deliver a consistent retail strategy in specialist forecourt retailing to our customers. We continue to build and grow, supported by the knowledge and success of EG Group a creative and innovative global retail operation servicing over 6,500 forecourts in 9 countries across Europe, North America and Australia.

ABOUT THE ROLE

The Data & Analytics Engineer plays a critical role in shaping and advancing EG Australia's data infrastructure and analytics capabilities. This position is responsible for designing and building reliable, scalable data pipelines and models that transform raw data into meaningful insights. By enabling data-driven decision-making across the organisation, the Data & Analytics Engineer will help improve operational efficiency, anticipate customer behaviour, and support strategic growth initiatives.

RESPONSIBILITIES IN A SNAPSHOT:

Reporting into the Head of Information Management you will:

  • Design, test and implement effective and scalable data pipelines, leveraging cutting-edge tools such as LucidCharts (to design), SQL (to build) and Azure Data Factory (to schedule)
  • Design, test and implement effective and scalable data pipelines in Azure Data Factor
  • Enhance and maintain data storage and processing solutions, across data warehouses and data lakes using Azure.
  • Automate data analysis and reporting processes, utilizing various tools and scripts
  • Build and deploy statistical checks and models to ensure best-in-class data quality and undertake data model impact assessments
  • Proactively assess data-related system integrations and propose appropriate solutions to the business
  • Support data governance through implementing best practices around code documentation, naming conventions, data glossaries and data mapping
  • Partner with stakeholders to translate complex business problems into fit-for-purpose and scalable data pipelines and data models, to enable fast and efficient data-driven decision-making

WHAT ARE WE LOOKING FOR?

  • A Bachelor's degree in Data Engineering, Computer Science, or a related field
  • 4 years of experience in a data engineering or analytics role, with a strong foundation in working with complex data systems
  • Strong problem-solving and analytical skills, with a natural curiosity for digging into data and identifying solutions
  • Excellent communication and presentation skills, with the ability to engage and manage stakeholders effectively
  • A proactive and collaborative approach, you work well independently and as part of a team
  • Proficiency in Snowflake and advanced SQL scripting, along with intermediate skills in a programming language such as Python
  • Hands-on experience with ETL and scheduling tools like Azure Data Factory, Azure Logic Apps, PowerAutomate, or similar platforms
  • A solid understanding of data modelling principles, practices, and methodologies
  • Experience creating and maintaining technical documentation, standards, and best-practice guidance
  • Demonstrated expertise in database design, Master Data Management (MDM), and building high-performance, scalable data pipelines

WHAT'S IN IT FOR YOU?

  • An opportunity to play an integral role in driving efficiency and profitability for EG Australia.
  • Competitive salary package and employee discounts.
  • Mix of office & working from home flexibility with access to employee well-being programs.
  • Work with cutting edge analytics & AI tools across Azure, Snowflake and DataIKU.
  • Equal opportunity workplace with a commitment to diversity & inclusion and gender-diverse policies.

Be part of the team shaping operations for EG Australia. Apply Now

Seniority level
  • Seniority levelNot Applicable
Employment type
  • Employment typeTemporary
Job function
  • Job functionInformation Technology
  • IndustriesRetail

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