Why This Role Stands Out
This hybrid Data Engineer role offers a fantastic opportunity to shape Service Stream's data and AI transformation, working with cutting-edge Microsoft Fabric technologies to drive impactful insights. If you're a mid-senior engineer with a passion for building scalable data solutions and optimizing performance, you'll thrive in this collaborative environment. Don't miss the chance to contribute to a company committed to innovation and excellence – apply today!
Quick Overview
Job Description
Primary Location VIC - Melbourne - 655 Collins St Job Description Summary Service Stream is embarking on an exciting Data & AI transformation to elevate enterprise analytics capabilities across the business. We're looking for a Data Engineer to play a key role in delivering strategic data initiatives and enabling fact-based decision-making. 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.
LocationCollins Street, Melbourne (Hybrid)
Work typePermanent
Requirements- Australian Citizenship or Permanent Residency desirable
- 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
- 3-4 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
- 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
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.
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 .
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