Job Description

THE ROLE

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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.

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YOUR RESPONSIBILITIES

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- Design, build and operate data pipelines and lakehouse architectures across Azure and Databricks
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- Transform complex, messy source data into well-structured models and Power BI reporting that stakeholders trust
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- Own technical design decisions on your engagements — and be prepared to defend them with customers and colleagues
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- Run discovery sessions with clients, translating ambiguous business questions into data solutions that answer them
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- Embed data quality, testing and governance practices from day one across every engagement
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- Partner with directors on pre-sales activity — shaping solutions, sizing effort, and communicating the technical story in language customers can act on
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- Mentor engineers around you and contribute to the standards and practices the broader team relies on
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- Manage two to three concurrent engagements, balancing hands-on delivery with architecture, mentoring and pre-sales responsibilities
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REQUIRED SKILLS

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- 5+ years in data engineering,



including meaningful time in consulting or professional services with direct client exposure
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- Strong SQL and Python, with the judgement to choose the right solution over the impressive one
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- Hands-on experience across the Azure data stack — Data Factory, Synapse, Microsoft Fabric and ADLS
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- Real-world Databricks and Spark experience, including Delta Lake and layered lakehouse architectures
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- Solid data modelling capability across dimensional and lakehouse patterns, with the ability to explain design decisions clearly to technical and non-technical audiences
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- Power BI experience that goes beyond dashboards — semantic modelling, DAX and considered report design
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- Comfort with source control, CI/CD and environment management, ideally using Azure DevOps
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- A demonstrable track record of pre-sales involvement — shaping proposals, sizing engagements and presenting the technical case to clients
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HIGHLY DESIRABLE

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- Relevant certifications such as DP-203, DP-600 or a Databricks credential
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- Experience with dbt in a skilled delivery context
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- Exposure to AI/ML workloads on data platforms
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- Experience delivering into government or other regulated environments
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ABOUT TALENT STREET

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

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Hirer responsiveness Salary match Number of applicants

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Your application will include the following questions:

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- Which of the following statements best describes your right to work in Australia?
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- How many years' experience do you have as a Data Engineer?
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- Which of the following programming languages are you experienced in?
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📌 Senior Consultant - Data Engineering (Queensland)
🏢 Talent Street
📍 Queensland