Data Engineer

Service Stream

AUonsitePosted Jun 29, 2026
Posting intelligenceActively listed

Skills

databrickspythonazuresparkcicd

About the role

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.

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 talent.corporate@servicestream.com.au.

Department

Finance

How to Apply

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation for Data Engineer roles in Australia varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Data Engineer hub for Australia medians across recent openings.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, Personio, Teamtailor and other major ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.