Senior Consultant - Data Engineering
Summary
Hands-on, client-facing senior data engineering consultant at a Brisbane-based data & analytics consultancy: design and operate Azure/Databricks pipelines and lakehouse architectures, build trusted Power BI reporting, run client discovery and pre-sales, and mentor engineers across 2-3 concurrent engagements. Core stack: Azure (Data Factory, Synapse, Fabric), Databricks/Spark, SQL, Python, Power BI
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?