Data & Analytics Engineer

EG Australia; North Sydney; Hybrid; AUD 90,000 - 120,000; Part time

Benefits offered by this job

Employee well-being programs

Employee discounts

Diversity & inclusion policies

Job summary

EG Australia is seeking an experienced Data & Analytics Engineer for a 6-month contract to help integrate a data-driven approach across the organization. You will design scalable data pipelines in Azure Data Factory, optimize data warehouses and lakes, and enable fast, data-driven decision-making through dashboards and automated reporting.

You will collaborate with stakeholders, implement data governance, and build reliable data models while ensuring high data quality and performance.

Qualifications

• Minimum 4 years of experience in an Azure data engineering role.
• Proficiency in Azure Synapse Analytics and writing advanced SQL scripts / Stored Procedures, with an intermediate skill/understanding of Power BI.
• Experience working with ETL and scheduling tools in Azure Data Factory, Azure Logic Apps, PowerAutomate.
• Knowledge of and demonstrated experience with Data Warehouse (Star Schema) Modelling principles, practice, techniques and methodologies.
• Experience developing and maintaining standards, guidance and technical documentation.

Responsibilities

• Design, test and implement effective and scalable data pipelines in Azure Data Factory.
• 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 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.

Skills

Azure Synapse Analytics

SQL scripting

Data pipelines

Data modeling

Data governance

Tools

Azure Data Factory

Azure Logic Apps

PowerAutomate

Power BI

Job description

We have been serving Australian customers since 2019, operating a network of more than 500 fuel and convenience locations nationwide. Following Ampol Group's acquisition of the EG Australia business we are embarking on an exciting period of transition with a continued focus on delivering quality fuel, everyday essentials, fresh food, meal solutions, and convenience products to our customers.

ABOUT THE ROLE:

We are seeking an experienced Data & Analytics Engineer to join our team on a 6-month contract during an exciting phase of business integration. Reporting to the Data & Reporting Lead, you’ll play a key role in developing scalable data solutions that enable better decision-making, unlock business insights, and drive performance across the organisation.

In this role you will be responsible for:

Design, test and implement effective and scalable data pipelines in Azure Data Factory

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?

Minimum 4 years of experience in an Azure data engineering role

Proficiency in Azure Synapse Analytics and writing advanced SQL scripts / Stored Procedures, with an intermediate skill/understanding of Power BI

Experience working with ETL and scheduling tools in Azure Data Factory, Azure Logic Apps, PowerAutomate

Knowledge of and demonstrated experience with Data Warehouse (Star Schema) Modelling principles practice, techniques and methodologies

Experience developing and maintaining standards, guidance and technical documentation

Demonstrated experience in database design, ETL (Extract, Transfer, Load), MDM (Master Data Management) and optimizing data pipelines for high performance, utilizing Azure

WHAT’S IN IT FOR YOU?

An opportunity to play an integral role in our IT team

Hybrid working arrangement – North Sydney Office and Workfromhome

Access to employee well-being programs& employee discounts

Equal opportunity workplace with a commitment to diversity & inclusion and gender-diverse policies