Job title: Senior Consultant - Data Engineering
Job type: Permanent
Emp type: Full-time
Functional Expertise: IT & Telecoms
Salary type: Annual
Location: Brisbane
Job published: 20-08-2026
Job ID: 47723

Job Description

You want to lead data engineering that actually matters — shaping architecture, guiding teams, and sitting at the table when strategy gets set. This is that role.

THE ROLE

Our client is a technology consultancy delivering data and analytics transformation across a diverse customer base. They're looking for a Senior Consultant - Data Engineering to take technical ownership of their data practice — from pipeline design to pre-sales pursuits. Based in Brisbane, Queensland, Australia, this is a permanent, full-time opportunity where no two weeks look the same. You'll work hands-on with Azure Data Factory, Databricks, Microsoft Fabric, Delta Lake and Power BI while also mentoring engineers, setting team standards, and helping win new work.

WHAT YOU'LL BE DOING

• Design and build pipelines and lakehouse architectures on Azure and Databricks that customers genuinely depend on
• Transform messy source data into well-modelled Power BI reporting that drives real decisions
• Own technical design on engagements and hold the quality line on everything shipped
• Run discovery sessions and workshops directly with customers, turning business questions into data solutions
• Build data quality, testing, observability and governance in from the start
• Lead pre-sales pursuits alongside directors — shaping solutions, sizing effort and presenting technical responses
• Mentor engineers and develop the standards and reusable patterns that lift the whole team
• Manage two or three concurrent engagements, keeping variety high and the work interesting

WHAT YOU'LL BRING

• 8+ years of data engineering experience, with a consulting or professional services background
• Strong SQL and Python with the judgement to favour simple over clever
• Hands-on experience with Azure Data Factory, Azure Synapse, Microsoft Fabric and Azure Data Lake Storage
• Solid Databricks and Apache Spark experience, including Delta Lake and layered architectures
• Data modelling depth across dimensional and lakehouse patterns
• Power BI skills spanning semantic modelling, DAX and report design
• Source control, CI/CD and environment management, ideally via Azure DevOps
• A track record in pre-sales: solution shaping, effort estimation and technical proposal writing
• Demonstrated experience mentoring engineers and building capability around you
• Full working rights in Australia and willingness to complete a national police check

NICE TO HAVE

• Microsoft certification such as DP-203 or DP-600, or a Databricks certification
• Experience with dbt or similar transformation frameworks
• Exposure to Azure AI Foundry, retrieval-augmented generation or responsible AI practice
• Experience delivering into government or regulated environments
• Broader Microsoft digital transformation experience

ABOUT TALENT STREET

Talent Street is a specialist technology recruitment agency connecting top IT professionals with leading organisations across Australia.

TO APPLY

Apply now or contact Cheska Mitra, Delivery Consultant at Talent Street, on cmitra@talentstreet.com.au for a confidential conversation.