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Senior Data Engineer – Melbourne, Adelaide
INTELLIGENSenior Data Engineering Consultant for Intelligen, focusing on modern data platform design and complex data challenges. Delivering large-scale data capabilities for essential utilities and asset-heavy environments.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building scalable data pipelines and cloud-based data platforms, with a strong focus on SQL development, data modeling, and the Microsoft data ecosystem. Proven ability to collaborate with stakeholders and mentor teams while driving continuous improvement in data governance and delivery excellence.
Highest-signal resume keywords
Data EngineeringSQL DevelopmentMicrosoft AzureData Pipeline DevelopmentData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingCloud-Based Data PlatformsData Transformation FrameworksData QualityMetadata ManagementCI/CDAutomationVersion ControlModern Data ToolingData Architecture
Soft Skills
Strong CommunicationCollaborationMentoringStakeholder EngagementDelivery Excellence
Tools & Technologies
Azure Data FactoryMicrosoft FabricDbtCoalesceAirflow
Industry Keywords
Critical InfrastructureUtilitiesEnergyRegulated Industries
Tech Stack
Tools & technologiesAirflowAzureCloudSQL
About the role
Key responsibilities & impact- Design and build scalable data pipelines, integrations, and transformation frameworks
- Develop and maintain cloud-based data platforms and modern data architectures
- Implement data models, engineering standards, and reusable patterns that improve delivery quality
- Support the development of data products and associated governance processes
- Collaborate with architects, analysts, product owners, and business stakeholders to deliver valuable outcomes
- Contribute to platform stabilisation initiatives by improving reliability, performance, and operational support practices
- Support data quality, metadata, and documentation activities
- Participate in solution design workshops and technical planning activities
- Mentor junior consultants and contribute to capability development across delivery teams
- Help identify opportunities for continuous improvement across technology, processes, and ways of working
Requirements
What you’ll need- 6+ years' experience in data engineering, or data platform delivery
- Strong SQL development and data modelling capability
- Proven expertise in the Microsoft data ecosystem, including Azure, Azure Data Factory (ADF), and Microsoft Fabric.
- Experience building data pipelines using modern engineering tools and frameworks
- Understanding of software engineering practices including version control, testing, CI/CD, and automation
- Experience working directly with stakeholders in consulting or project delivery environments
- Strong communication skills and ability to translate business requirements into technical solutions
- Ability to work independently while contributing effectively within multidisciplinary teams
- A mindset focused on delivery excellence, continuous learning, and collaboration
- **Nice to Have**
- Experience with dbt, Coalesce, Airflow, or similar modern data tooling
- Exposure to data governance, metadata management, or data quality frameworks
- Experience working within critical infrastructure, utilities, energy, or regulated industries
Benefits
Comp & perks- Work From Home - Flexible hours
- Training & Development
- Free Food & Snacks
- Many socials and community groups
- Opportunity to drive projects that are of interest to you!