Data Engineer

Followmont Transport; City of Brisbane; On-site; AUD 120,000 - 170,000; Full time

Benefits offered by this job

Free parking at Eagle Farm site

Flexible working hours

Workplace benefits program

Job summary

Followmont Transport is seeking a Data Engineer to design, build and support enterprise data platforms and pipelines. You will connect operational systems with cloud data environments, delivering secure and accurate solutions within an agile team.

You will work across data engineering, analytics platforms and system integrations, focusing on scalable data pipelines, data modelling and governance to enable strategic decision making.

Qualifications

• Hands-on data engineering across analytics platforms.
• Advanced SQL across large datasets.
• Experience with Microsoft Fabric or Snowflake.
• Knowledge of data warehouses and modelling.
• Experience with APIs, REST and JSON.
• Power BI experience including modelling.

Responsibilities

• Design, build and maintain scalable data pipelines and transformations.
• Develop and support API based integrations using REST and JSON.
• Deliver data solutions using Microsoft Fabric and Snowflake.
• Design and implement data warehouse models and architecture patterns.
• Lead data ingestion, transformation and modelling across sources.
• Optimise pipelines for performance and reliability.
• Implement data quality controls and governance practices.
• Contribute to automation leveraging data platforms and Power Platform.
• Support Power BI datasets and reporting performance.
• Write and optimise advanced SQL across large datasets.
• Act as escalation point for data/platform issues.
• Maintain documentation of data pipelines and dependencies.

Skills

Data engineering

SQL

Microsoft Fabric

Snowflake

Data modelling

REST APIs

Power BI

CI/CD

Azure DevOps

Stakeholder engagement

Data warehousing

Data quality

Tools

Git

Job description

As a Data Engineer, you will play a key role in designing, building and supporting enterprise data platforms, pipelines and integration solutions that enable business operations and strategic decision making.

You will work hands on across modern data engineering, analytics platforms and system integrations, helping connect operational systems with cloud data environments in a scalable, reliable way.

Working closely with the BI and Automation Lead, technology teams and business stakeholders, you will ensure data solutions are delivered securely, accurately and in line with enterprise standards. This role offers strong technical ownership within a small, agile and high performing team.

What you will be doing

• Design, build and maintain scalable data pipelines and transformations to support reporting, analytics, automation and applications
• Develop and support API based integrations using REST services, JSON and secure authentication
• Deliver data solutions using Microsoft Fabric and Snowflake as core analytics platforms
• Design and implement data warehouse models and architecture patterns to support enterprise analytics
• Lead data ingestion, transformation and modelling across multiple source systems
• Optimise data structures and pipelines for performance, reliability and efficiency
• Implement data quality controls, validation rules and governance practices
• Contribute to automation initiatives leveraging data platforms and Power Platform capabilities
• Support Power BI datasets, semantic models and reporting performance where required
• Write, optimise and maintain advanced SQL across large and complex datasets
• Act as a technical escalation point for complex data, platform and integration issues
• Maintain clear documentation of data pipelines, flows and dependencies

What you bring

• Strong hands on experience in data engineering, integration and analytics platform development
• Advanced SQL skills with experience working across large, multi source datasets
• Proven experience with Microsoft Fabric and or Snowflake, including data modelling
• Experience designing data warehouse solutions using modern architecture patterns
• Strong understanding of APIs, REST services, JSON and data transformation
• Experience with Power BI including data modelling and performance optimisation
• Exposure to source control and CI CD practices such as Azure DevOps or Git
• Strong stakeholder engagement, communication and problem solving skills
• Experience in transport, logistics or complex operational environments is advantageous
• Be part of a team that values Service, Unity, Passion, Integrity, Innovation and Care
• Work in a collaborative environment where your ideas and input matter
• Enjoy variety, autonomy and the opportunity to make a real impact

Benefits

• Free parking at our convenient Eagle Farm location
• Great work life balance with flexible working hours
• Workplace Benefits Program with discounts across major retailers
• Health fund discounts for single or family cover
• Free access to our Employee Assistance Program, Mental Wellbeing Program and Workplace Banking Program

Why you will succeed

You enjoy owning outcomes, building robust data solutions and continuously improving how data supports the business. You are adaptable, technically strong and comfortable working across multiple platforms in a fast paced environment.