Add expected salary to your profile for insightsExposé 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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