Join to apply for the Senior Azure Data Engineer role at Darumatic Cloud Native
Darumatic is an IT consultancy focused on cloud native technologies. Our mission is to help clients “Build better software”. We are passionate about transforming development and infrastructure teams to become cloud native.
About the role
Location: McKell (Hybrid Working Arrangements)
Contract Duration: 12 January 2026 – 08 June 2026 (with chances of renewal)
Daily Rate: $1,000 per day + Superannuation
Department: Department of Customer Service, NSW Government
The Department of Customer Service is seeking a highly motivated Senior Data Engineer to join their team on a contract basis. This role is pivotal in driving the end-to-end data engineering strategy, utilizing the latest Microsoft technologies to transform raw data into actionable insights.
You will be joining a flexible and supportive environment, working to build and maintain robust data platforms. As a creative problem solver, you will bridge the gap between complex data systems and business needs, ensuring high-quality datasets support reporting, analytics, and machine learning initiatives.
Accountabilities and Deliverables
* Pipeline Development & Strategy: Drive the end-to-end data engineering strategy using Microsoft technologies. Build, maintain, and scale data pipelines and platforms to ensure efficient data flow.
* Data Transformation: Design and execute ELT/ETL workflows to transform raw data from disparate systems into structured, high-quality datasets optimised for PowerBI, reporting, and machine learning.
* Collaboration: Work cross-functionally with Data Analysts and Business Analysts to understand database requirements, partitioning strategies, and business logic.
* Governance & Security: Implement strong data governance and compliance measures, including using Microsoft Purview for cataloguing and Azure Key Vault for encryption across data ecosystems.
* Continuous Improvement: Stay abreast of industry trends and best practices to drive continuous improvement initiatives within the data engineering function.
* Automation: Utilise Excel, Power Query, and VBA to handle automation tasks and connectors where required.
Experience and Skills
Essential Qualifications & Technical Skills
* Education: Minimum Bachelor’s degree in Computer Science, Software Engineering, or Information Systems.
* Experience: 5+ years of professional experience as a Data Engineer.
* Microsoft Fabric: Hands‑on experience building scalable data pipelines and ELT/ETL workflows using Microsoft Fabric to optimise datasets for PowerBI.
* Programming: Strong proficiency in SQL and at least one other programming language commonly used for data engineering (e.g., Python, Java, Scala).
* Governance Tools: Proven background in documentation, security, and compliance, specifically with experience in Microsoft Purview and Azure Key Vault.
* Excel Proficiency: Advanced skills in Excel, including Power Query, VBA automation, and connectors.
Soft Skills
* Critical Thinking: A creative problem solver who can think critically to resolve complex data challenges.
* Adaptability: Ability to stay updated with industry trends and integrate new best practices.
* Communication: Strong ability to collaborate with non-technical stakeholders and technical teams alike.
Preferred Certifications
* Microsoft Certified: Data Engineering on Microsoft Azure (DP‑700) or equivalent.
* Microsoft Certified: Administering Relational Databases on Microsoft Azure (DP‑300).
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