Senior Data Engineer

OverviewWe're looking for a Senior Data Engineer with strong expertise in Azure Databricks and the wider Microsoft data ecosystem to help design, build, and scale a modern data platform.In this role, you'll be hands-on with data pipelines, orchestration, and modelling, ensuring high-quality, secure, and reliable data is available for reporting, analytics, and business operations.

You'll work closely with technical and business teams, driving best practices in cloud data engineering.ResponsibilitiesDesign and maintain scalable data pipelines using Azure Databricks, ADF, Azure SQL, and Azure Storage.Orchestrate workflows with Apache Airflow and manage data ingestion from APIs, files, and SaaS tools like Fivetran.Build and optimize data models to support analytics and reporting.Ensure data security, governance, and quality across the platform.Monitor and support Databricks jobs, ADF pipelines, and other data services.Stay ahead of trends in data engineering and champion modern best practices.About YouProven experience as a Data Engineer with a strong background in Databricks (SQL, PySpark, Delta Lake, Unity Catalog, Lakehouse).

Hands-on experience with Microsoft Azure data services (ADF, Azure SQL, Data Lake).

Knowledge of ETL / ELT, data modelling, orchestration, APIs, and CI / CD.Familiarity with Azure DevOps, Terraform, Airflow, and data governance / security practices.Strong problem-solving, communication, and collaboration skills.Relevant certifications in Microsoft or Databricks technologies are a plus.About TribeTo find out more, please get in touch with Aata at for a confidential chat.

To apply for this vacancy you MUST be a New Zealand citizen, resident, or have already secured the right to work in New Zealand and therefore hold a valid visa.

At the appropriate stage we will request your references; please do not include them on your CV when applying.

At Tribe we encourage inclusion in every interaction and are committed to supporting a diverse workforce.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation TechnologyIndustriesStaffing and Recruiting

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