Te kōwhiringa | The Opportunity

Are you passionate about engineering and tailoring valuable data insights for the business using Databricks, other Azure technology data stack and have the same passion on exploring and maintaining the Azure cloud infrastructure? If you are, this is a good opportunity for you to grow in this sector.

As a Data & Application Infrastructure Engineer , you will play a key role in designing, building and maintaining robust data engineering pipelines and application infrastructure that support software applications, services, and data analytics needs. You will work closely with fellow data engineers, scientists, analysts, app developers, and solution architects to ensure efficient data processing, storage, and availability for business insights.

Your expertise in configuring and managing servers, containers, and cloud-based platforms will help optimize performance and reliability. You will also drive innovation by adopting automation, optimizing workflows, and staying ahead of industry trends.

This role can be based in Auckland or Wellington with flexible work‑from‑home arrangements available for candidates located in these regions.

Key Responsibilities

• Data Engineering: Design, build and maintain efficient, reliable, and scalable data / ETL pipelines on Databricks and other Azure technology stack (i.e.: Storage Account, Logic App, Function App, Data Factory, SQL PaaS, etc.).
• Report Development: Design, build and maintain Power BI or Databricks AI/BI Dashboards.
• Application Infrastructure & Platform Management: Configure and optimize Azure services (IaaS, PaaS and SaaS) for performance and security.
• Security & Compliance: Implement best practices to ensure data integrity, security, and compliance.
• Innovation & Automation: Drive efficiency by automating workflows and integrating emerging technologies.
• Collaboration & Communication: Work closely with internal teams and stakeholders to support business objectives.
  

Nga pūkenga matua | Important Skills

Education: Bachelor’s Degree in Computer Science, IT, Data Science, or related field.

Experience: 5+ years in data and application infrastructure engineering, with expertise in ETL, platform management, and security best practices.

Technical Skills:

• Strong knowledge of data infrastructure technologies (Databricks, databases, data lakes, other big data frameworks).
• Experience with cloud platforms (Azure, AWS, Google Cloud).
• Proficiency in automation tools and DevOps practices.
Understanding of data governance, security, and compliance.

Soft Skills: Excellent problem-solving, communication, creativity, independence, and collaboration skills, with a passion for continuous improvement and innovation.

Ko te take ka parekareka e koe ki te mahi ki kōnei | Why you will enjoy working here
Downer is committed to delivering excellence by ensuring our people have the environment and the means to be successful. We offer:

• Free access to Marram health care benefits and discounted holiday homes
• Competitive salary
• Discounts for Samsung, Repco, PB Tech, Gym memberships and more!
• $500 bonus for current employees who refer a friend to Downer
Progression and development programs on offer including our inspiring leader’s programme for top performers

Ko wai mātou | Our Organisation

Want to know more about what it is like to work at Downer? Then head to our People Site https://people.downergroup.co.nz/join-our-transport-team/

Me pēhea ki te tono | How to apply
If this sounds like the opportunity for you, click Apply Now to submit your application! The reference number for this role is 731666.

We are committed to a safe working environment for everyone - all successful applicants will be required to undertake a pre-employment drug test, medical and a Ministry of Justice check prior to starting employment. If you need support with this requirement, please talk to our team.