Senior Azure Data Engineer

About Us

Darumatic is an IT Consultancy that focuses on cloud native technologies. Our mission is to help clients "Build better software".

We are passionate about working with clients to transform their development and infrastructure teams to become cloud native. Our supportive culture will open up a variety of opportunities for you to develop your knowledge and skills whilst providing opportunities to connect with a range of IT professional networks. We believe in mutually beneficial professional working relationships and your employment with us is no exception.

For information about us visit https://www.darumatic.com

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, utilising 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. This includes 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 Dataverse: Hands on experience with this tool.

-Microsoft Fabric: Hands-on experience building scalable data pipelines and ELT/ETL workflows specifically 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).