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Lead Data Engineer - Auckland


Location: Auckland

Job Type: Full time


Te kōwhiringa | The Opportunity

Downer NZ has many exciting opportunities ahead to help reimagine and transform Aotearoa New Zealand for future generations. We work collaboratively with our customers to support their infrastructure and services needs as they tackle aging assets, regulatory reform, climate change, new technologies, and changing consumer behaviours.

The Lead Data Engineer at Downer is a critical role within our Data and Analytics team. Reporting directly to the Head of Data and Analytics, the Lead Data Engineer will be responsible for designing, implementing, and managing our data engineering solutions on the Azure platform. This role combines technical expertise in Azure services with strong leadership and management skills.

Day to day you will be involved in:

  • Design, develop, and maintain data pipelines and workflows using Azure Data Factory, Azure OpenAI, Generative AI, Azure Databricks, and other relevant Azure services.
  • Build and manage data models and datasets using Azure Analysis Services and Azure Synapse Analytics.
  • Implement and maintain CI/CD pipelines for data engineering solutions using Azure DevOps.
  • Collaborate with data scientists and analysts to deploy and operationalize machine learning models.
  • Ensure data quality, security, and compliance standards are met.
  • Troubleshoot and optimize data engineering processes for performance and scalability.

Non-Technical Skills:

  • Management: Lead data analysts, engineers, providing guidance, coaching, and mentorship.
  • Organizing: Effectively plan and prioritize data engineering projects and tasks.
  • Soft Skills: Excellent communication and interpersonal skills for effective collaboration with cross-functional teams.
  • Innovative: Stay updated with industry trends and emerging technologies to drive innovation in data engineering solutions.
  • Integrity: Maintain the highest ethical standards in handling sensitive and confidential data.
  • Thinking Out of the Box: Solve complex data engineering challenges with creative and innovative approaches.

Nga pūkenga matua | Important Skills

  • Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred).
  • Proven experience in data engineering, with a focus on Azure technologies.
  • Strong proficiency in Azure Data Factory, Azure Databricks, Azure Analysis Services, Azure Synapse Analytics, and Azure DevOps.
  • Experience with CI/CD pipelines and automation in data engineering.
  • Knowledge of machine learning and its integration with data engineering pipelines.
  • Leadership experience with the ability to manage and mentor a team.
  • Excellent problem-solving skills and attention to detail.
  • Experience required: 5+ years as Data Engineer.

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 also offer:

  • Laptop and work phone
  • Free access to Marram health care benefits and discounted holiday homes
  • 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 website.

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 666666

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.