Senior Data Engineer - Azure Databricks & Power BI Enablement

Plunket

New Zealand

Remote

NZD 120,000 - 170,000

Full time

3 days ago
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Benefits offered by this job

Two Well health days
EAP
Fitness Passport

Job summary

Whānau Āwhina Plunket is seeking a Senior Data Engineer to own and extend our data warehouses, reporting artefacts and data products. You will work in Azure Databricks, Delta Lake and Power BI Service, ensuring data reliability, governance and trusted reporting.

This is a full-time permanent role, based in New Zealand, with flexibility for part-time hours and remote work within the country. You will lead data pipelines, BI datasets and collaborate across Data and Insights, Digital and ICT

Qualifications

  • Five+ years of experience in data engineering, data warehouse development or similar senior role.
  • Strong knowledge of data warehousing concepts and Kimball/dimensional modeling is desirable.
  • Excellent problem solving and collaboration skills.

Responsibilities

  • Own and improve data pipelines across raw to semantic layers using Azure Databricks, Delta Lake, PySpark and Spark SQL.
  • Design medallion architecture patterns and semantic datasets for BI and AI use cases.
  • Develop and maintain ETL processes, tools and code with a focus on quality and governance.
  • Monitor pipelines, resolve data issues and ensure outputs meet business rules.
  • Contribute to CI/CD and infrastructure-as-code across Databricks and Azure.
  • Provide technical guidance, code reviews and QA across the team.

Education

Degree in computer science, mathematics, statistics or related discipline

Job description

Whānau Āwhina Plunket is seeking a Senior Data Engineer to own and extend our data warehouses, reporting artefacts and data products. You will work in Azure Databricks, Delta Lake and Power BI Service, ensuring data reliability, governance and trusted reporting.

This is a full-time permanent role, based in New Zealand, with flexibility for part-time hours and remote work within the country. You will lead data pipelines, BI datasets and collaborate across Data and Insights, Digital and ICT

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