Data Engineer

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.

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.

• 3–4 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

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 ••••@servicestream.com.au.