About the Company

Join a forward-looking, data-driven organisation focused on modernising data engineering practices and enabling strategic, data-led decision-making. You will work in a collaborative environment that values secure, scalable, and efficient data solutions to drive innovation and operational excellence.

The Role

As a Data Engineer, you will design, build, and optimise enterprise-grade data pipelines and cloud-based infrastructure to deliver high-quality, reliable data. You will work across analytics, automation, and digital product teams to ensure scalable, secure, and governed data delivery that underpins business intelligence and innovation initiatives.

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines across cloud and on-premises systems using tools such as Azure Data Factory, Synapse, or Databricks;

• Optimise data ingestion, transformation, storage, and compute resources for performance, scalability, and cost efficiency;

• Implement automated workflows, DataOps practices, and monitoring to ensure pipeline reliability and data quality;

• Embed security, governance, and compliance controls across the data lifecycle, including metadata management and lineage tracking; and

• Collaborate with analytics, platform, and business teams to deliver reusable, high-value data products and support advanced reporting and AI/ML use cases.

Skills and Experience

• Minimum 5 years’ experience in data engineering, ETL/ELT development, or cloud data platforms;

• Hands-on experience with cloud-based services (Azure, AWS, GCP) including data lakes, warehouses, and orchestration tools;

• Strong SQL and Python or equivalent scripting proficiency;

• Experience implementing data quality frameworks, version control, CI/CD pipelines, and infrastructure-as-code for data workflows; and

• Knowledge of relational and non-relational databases, schema design, and performance tuning.

Desirable

• Experience with DataOps, MLOps, or automation frameworks;

• Exposure to AI/ML pipelines and analytics tools such as Power BI or Tableau; and

• Experience in regulated or government environments with strong governance and privacy obligations.

Benefits

• Lead data engineering initiatives that underpin analytics, automation, and digital products;

• Work with modern cloud-based data platforms and orchestration tools;

• Collaborate across a high-performing data, analytics, and technology community;

• Professional development opportunities and exposure to emerging data engineering practices; and

• Flexible working arrangements and supportive team environment.

How to Apply 
 
For more information or a confidential discussion please email Nabil Boumoughdab at u&u on nabil.boumoughdab@uandu.com quoting reference number 43461.
 
At u&u Recruitment Partners, we value diversity, equity and inclusion. We welcome applications from Aboriginal and Torres Strait Islander people, people with diverse cultural and linguistic backgrounds and people with disability. 
 
Should you require reasonable adjustments or have a preferred method of communication throughout the recruitment process, we encourage you to make a request via adjustments@uandu.com or phone the above-mentioned u&u consultant to discuss. In response to these requests, we will collaborate closely with you to implement the appropriate adjustments. 
 
Additionally, for a barrier-free and inclusive online experience, you can access u&u’s opportunities using accessibility software Recite Me at https://www.uandu.com/jobs.  
 
Please submit your resume in Word format only.