Senior Data Engineer - Microsoft Azure Specialist 📍 Location: Sydney 📅 Type: 12-Month Contract 💼 Industry Leader | Cutting-Edge Azure Projects | Hybrid Work Model
Clicks IT Recruitment is working with a leading organisation seeking a highly skilled Senior Data Engineer with deep expertise in Microsoft Azure technologies. This is a fantastic opportunity to join a high-performing team driving a major data transformation initiative.
In this role, you'll design and build robust, scalable data pipelines to support real-time data processing and analytic. You'll work with modern Azure tools including Microsoft Fabric, Power BI, Azure Data Lake, Data Factory, and DevOps, while also leveraging your expertise in SQL, Python, and ETL design.
Key Responsibilities:
Architect and maintain real-time data pipelines
Integrate diverse data sources and ensure data quality
Collaborate with cross-functional teams to deliver secure, scalable solutions
Lead release planning and present architectural designs
What We're Looking For:
12+ years in data engineering with strong Azure experience
Proficiency in Python, SQL, and data warehousing
Excellent communication and problem-solving skills
Azure certifications and experience with ML pipelines are a plus
Ready to make an impact? Apply now to join a forward-thinking team shaping the future of data.
If you wish to apply for this position, please submit your resume by clicking the 'Apply Now' button. For further information please contact Paige Jackson at Clicks IT Recruitment on +61 487 197 214.
At Clicks, we embrace diversity, inclusion and equal opportunity.
We provide reasonable adjustments, including alternate formats to the recruitment process for individuals with disability. If you require an adjustment to be made during the recruitment process, please call 1300 254 257 or email adjustments@clicks.com.au
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Optional. Specifies the mode. Possible values:
0 – Default. Does not count all elements of multidimensional arrays
1 – Counts the array recursively (counts all the elements of multidimensional arrays)