THE ROLE
Our client is a Brisbane-based digital and business transformation consultancy delivering data and analytics solutions across a diverse range of industries. They have an immediate opening for a Senior Consultant, Data Engineering — a hands-on, client-facing role where you'll own technical delivery across multiple engagements and help customers build data platforms they can genuinely run their business on. If you're equally comfortable writing a pipeline in the morning and explaining its commercial value to a customer in the afternoon, this role was built for you.
YOUR RESPONSIBILITIES
Design, build and operate data pipelines and lakehouse architectures across Azure and Databricks
Transform complex, messy source data into well-structured models and Power BI reporting that stakeholders trust
Own technical design decisions on your engagements — and be prepared to defend them with customers and colleagues
Run discovery sessions with clients, translating ambiguous business questions into data solutions that answer them
Embed data quality, testing and governance practices from day one across every engagement
Partner with directors on pre-sales activity — shaping solutions, sizing effort, and communicating the technical story in language customers can act on
Mentor engineers around you and contribute to the standards and practices the broader team relies on
Manage two to three concurrent engagements, balancing hands-on delivery with architecture, mentoring and pre-sales responsibilities
REQUIRED SKILLS
5+ years in data engineering,



including meaningful time in consulting or qualified services with direct client exposure
Strong SQL and Python, with the judgement to choose the right solution over the impressive one
Hands-on experience across the Azure data stack — Data Factory, Synapse, Microsoft Fabric and ADLS
Real-world Databricks and Spark experience, including Delta Lake and layered lakehouse architectures
Solid data modelling capability across dimensional and lakehouse patterns, with the ability to explain design decisions clearly to technical and non-technical audiences
Power BI experience that goes beyond dashboards — semantic modelling, DAX and considered report design
Comfort with source control, CI/CD and environment management, ideally using Azure DevOps
A demonstrable track record of pre-sales involvement — shaping proposals, sizing engagements and presenting the technical case to clients
HIGHLY DESIRABLE
Relevant certifications such as DP-203, DP-600 or a Databricks credential
Experience with dbt in a professional delivery context
Exposure to AI/ML workloads on data platforms
Experience delivering into government or other regulated environments
ABOUT TALENT STREET
Talent Street is a specialist technology recruitment agency connecting top IT professionals with leading organisations across Australia.
Hirer responsiveness Salary match Number of applicants
Your application will include the following questions:
Which of the following statements best describes your right to work in Australia?
How many years' experience do you have as a Data Engineer?
Which of the following programming languages are you experienced in?
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📌 Senior Consultant - Data Engineering (Queensland)
🏢 Talent Street
📍 Queensland