Data Engineer - Azure, Power BI, Data Pipelines

The Data Engineer plays a key role in shaping and supporting our client’s data ecosystem. You’ll design, build, and maintain modern data pipelines and integrations that enable analytics, reporting, and operational effectiveness across the organisation.

Working closely with the Digital & Technology Services team and business stakeholders, you’ll ensure data is accessible, reliable, and ready to drive informed decision-making and high-quality service delivery.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and system integrations across cloud and on-prem environments.
• Develop and manage data transformation processes and authoritative, reusable data assets—including ongoing development of the enterprise data warehouse.
• Ensure data quality, consistency, and governance across the organisation.
• Partner with business SMEs and technical teams to translate data needs into fit-for-purpose solutions.
• Enable decentralised teams with access to raw and transformed data for ad hoc reporting and insights.
• Use Power BI expertise to build reports, uplift usage, and coach business teams to develop and maintain their own reporting.
• Support and enhance a federated Power BI model, ensuring alignment with standards and best practices.
• Follow organisational standards and policies to maintain the security, integrity, and effectiveness of the digital, IT, and spatial environments.

Qualifications & Experience

• Tertiary qualification in a relevant discipline with strong industry experience.
• Microsoft / Azure certifications are highly regarded.
• Extensive experience designing and delivering data analytics solutions (cloud and on-prem).
• Advanced Power BI development capability.
• Strong skills in data integration, ETL / ELT tools, and scripting languages (PowerShell, SQL).
• Experience with Boomi, Azure Data Factory, data warehousing, and data modelling.
• Demonstrated ability to build high-quality datasets, tables, views, and reporting assets.
• Exposure to AI / ML integration within data pipelines is an advantage.

If this sounds like you, we encourage you to apply

Redwolf + Rosch invite and encourage applications from all backgrounds of gender, disability, culture, and race. If you are a person with a disability and require modifications to the recruitment process, please contact the Recruitment Consultant.