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This range is provided by Exclaim IT. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
A$140,000.00/yr - A$160,000.00/yr
Our client is building an AI-enabled platform designed to streamline operations, support compliance, and unlock new levels of insight.
As a Senior Data Engineer, you'll take technical ownership of their data and integration stack, primarily leveraging Databricks. You will design, develop, and optimise secure, scalable data pipelines and APIs that underpin analytics, machine learning, and product features. Using Azure-native tools—including Databricks, Logic Apps, and API Management - you will help shape how data is orchestrated, governed, and consumed across their platform.
You'll enforce medallion architecture patterns (bronze, silver, gold) and ensure APIs and pipelines are secure, documented, versioned, and highly reliable. You will also collaborate closely with AI engineers, analysts, and developers to deliver high-quality, trusted data for insights, automation, and operational efficiency.
If you're confident with Databricks, Python, Spark, .NET, Azure Data Services, and building robust integration layers—this role could be a great fit for you.
What you'll bring:
* 7+ years of experience in data engineering or cloud platforms
* Expertise in Python, Spark, SQL, Databricks, ADF, and Azure
* Experience with secure integrations, APIs, and medallion architecture
* Bonus if you have experience in AI, cloud technologies, or health tech
Why:
* Elevate your career with impactful data engineering.
* Build cutting-edge solutions and grow with us.
* Ready to tackle your next big data challenge?
* Make your next move count in the world of data.
Apply Now
If you're a passionate and ready to work with modern technologies in a dynamic, fast-paced environment, we want to hear from you. Apply today or contact Georgi Cassady for more information georgi@exclaim-it.com.au
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Technology, Information and Media, Data Infrastructure and Analytics, and IT System Data Services
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