Senior Consultant - Data Engineering

Talent Street; City of Brisbane; On-site; AUD 150,000 - 190,000; Full time

Job summary

Talent Street is a Brisbane-based specialist technology recruitment agency connecting top IT professionals with leading organisations across Australia. The Senior Consultant, Data Engineering role focuses on owning technical delivery across multiple engagements, building robust data platforms and pipelines, and mentoring teams to ensure scalable solutions that drive business value.

You will balance hands-on delivery with architecture, pre-sales, and client storytelling to shape data solutions

Qualifications

• 5+ years in data engineering, including meaningful time in consulting or professional 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.

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 engagements and defend them with customers and colleagues.
• Run discovery sessions with clients, translating ambiguous business questions into data solutions.
• 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.
• Mentor engineers and contribute to team standards and practices.
• Manage two to three concurrent engagements, balancing hands-on delivery with architecture and pre-sales responsibilities.

Skills

SQL

Python

Power BI

CI/CD

Azure DevOps

Data modelling

Databricks

Spark

Delta Lake

Lakehouse architectures

Pre-sales involvement

Tools

Azure Data Factory

Synapse

Microsoft Fabric

ADLS

Job description

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 professional 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?