Design, build and maintain scalable data pipelines and Delta tables using Microsoft Fabric, Python and Spark SQL. Optimize datasets for Power BI, implement data engineering patterns (incremental loads, merges, validation), support CI/CD and monitor data quality, performance and security. Document solutions and runbooks and collaborate with stakeholders across the business.
Primary Location
Job Description Summary
In this role, you’ll work closely with stakeholders across the organisation to design, build, and optimise scalable data solutions that drive performance, innovation, and operational excellence. This is an ideal opportunity for someone who combines strong technical expertise with business acumen and a passion for turning data into actionable insights.
Location: Collins Street, Melbourne (Hybrid)
Work type: Permanent
Requirements: Australian Citizenship or Permanent Residency desirable
About the Role
- Design, build, and maintain data pipelines using Microsoft Fabric (Data Factory, Lakehouse, Notebooks)
- Develop and optimise Delta tables for reporting and analytics
- Build data transformation workflows using Python and Spark SQL
- Implement robust data engineering patterns (incremental loads, merges, validation)
- Optimise datasets for Power BI (semantic models, Direct Lake)
- Monitor pipeline performance, data quality, and reliability
- Support CI/CD practices (Git integration, deployment pipelines)
- Manage Fabric capacity and performance optimisation
- Implement and maintain data security (RLS, workspace permissions, OneLake)
- Document solutions, standards, and operational runbooks
About you
You’re a passionate data engineer who thrives in a collaborative, fast-paced environment. You’re comfortable working across complex data ecosystems and enjoy solving business problems using modern data technologies.
- 3–5+ years in data engineering
- Proven experience building end-to-end data pipelines and enterprise data models
- Hands-on experience with Microsoft Fabric or Azure data technologies (Synapse, Data Factory, Databricks)
- Strong knowledge of Delta Lake and medallion architecture
- Experience supporting Power BI optimisation and migration projects
Skills and qualifications
- Degree in Computer Science, IT, Data Engineering or related field
- Microsoft certifications highly regarded:
DP-700 (Fabric Data Engineer Associate)
DP-900 (Azure Data Fundamentals)
- Strong communication and stakeholder engagement skills
- Ability to work across multiple business units in a complex environment
- Passion for building scalable analytics solutions
- Advocacy for data-driven decision-making
- Resilience and adaptability in evolving environments
About Service Stream
Service Stream is an equal opportunity, ASX-listed business that develops and operates Australia’s essential service networks across telecommunications, utilities, transport, defence and social infrastructure. We keep communities connected—and we’re proud of the work we do.
Why you’ll like working here
- Flexible working: genuine flexibility options available.
- Growth: national career pathways across multiple business units.
- Discounts: retail partners including Woolworths, Airbnb, JB Hi-Fi, Bupa and more.
- Paid leave: parental, cultural, community service, study, volunteering and purchased leave.
- Inclusive culture: we value diversity, inclusion and celebrate excellence.
How to apply
Click Apply to submit your application. You’ll be prompted to create a profile in our recruitment system.
We welcome applications from Aboriginal and/or Torres Strait Islander peoples, people with disability or neurodivergence, members of the LGBTIQA+ community, Veterans and people from all backgrounds.
Applications can’t be accepted via email. If you require reasonable adjustments during the recruitment process, please contact [email protected].
Department
If this sounds like you apply now to the Service Stream Recruitment Team via the online application button.
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