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Exposé is one of Australia’s leading Data, Analytics & AI Consultancies. We have offices in Adelaide, Brisbane, and Melbourne, and we have team members all over Australia! We are super proud to provide a fantastic work culture, flexible working arrangements, access to leading-edge technology and projects, professional development and much more! At Exposé, culture comes first (happy employee = happy client = happy employer), and we believe that is why our amazing team is motivated to get out of bed and come to work every day.
The Role:
At Exposé, we thrive on turning complex data problems into powerful business solutions and we're looking for a Senior Data Engineer to join our Adelaide team! This is a fantastic opportunity to work with cutting-edge tech, solve real-world business challenges, and deliver impactful results!
What You’ll Be Doing:
* Designing and building scalable pipelines that drive data transformation using Azure, Fabric, and Databricks.
* Work with large datasets, optimising performance, and scalability of data workflows.
* Leveraging your Python and SQL expertise for data extraction, transformation, and integration and to develop and optimise workflows.
* Collaborate with cross-functional teams to deliver solutions that drive data strategy and business intelligence.
* Provide technical leadership, mentoring junior engineers, and ensuring best practices are followed.
* Engage directly with clients, understanding their business requirements and translating them into technical solutions.
Key Requirements:
* 5+ years of Data Engineering expertise, coupled with a strong consulting background.
* Experience in Azure, Databricks, and Fabric.
* Proven experience as a Data Engineer, with strong skills in ETL, ELT, and cloud-based data solutions.
* Hands-on expertise with Azure & Databricks (extra points if you've worked with Microsoft Fabric).
* Strong programming skills in Python & SQL.
* A consulting mindset—you’re comfortable engaging with clients and tailoring solutions to their needs.
* Solid understanding of data modelling, data ingestion, data integration and cloud architectures (most importantly, a Medallion Architecture).
* Excellent problem-solving skills and the ability to troubleshoot complex data issues.
* Strong communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.
* Experience with other cloud platforms (AWS, GCP, Snowflake) is a bonus.
* Familiarity with data visualisation tools (e.g., Power BI, Tableau).
* Knowledge of DevOps practices in a data engineering context.
* Relevant tertiary qualifications are highly advantageous.
* Previous experience in working as a Consultant is highly desirable.
* You must hold a current police clearance or be willing to obtain one at short notice.
* Baseline and/or NV1 clearances are highly advantageous.
If you're ready to take the next step in your data engineering career and thrive in a fast-paced, client-focused consultancy, we want to hear from you! Apply now!
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