Data Engineer

2 weeks ago

DevonportTakapuna, New Zealand Goosehead Insurance Full time NZ$80,000 - NZ$120,000 per year

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    Key Responsibilities

    • Design, build, and maintain scalable ETL/ELT pipelines to support analytics and machine learning workloads.

    • Develop and manage robust data models and warehouse structures that support self-service analytics and reporting.

    • Work with stakeholders across the business to understand data requirements and ensure data availability, accuracy, and usability.

    • Implement and monitor data quality and validation checks to maintain trust in our data assets.

    • Collaborate closely with data science and analytics teams to ensure data infrastructure supports model training and deployment.

    • Optimize data storage and query performance across cloud-based and relational systems.

    • Stay current with emerging data engineering tools and architectures and advocate for best practices across the team.

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    Required Qualifications

    • 5+ years of experience in data engineering, data infrastructure, or related fields.

    • Proficiency in SQL and at least one programming language (e.g., Python, Java, Scala).

    • Experience working with cloud data platforms (e.g., AWS Redshift, Snowflake, BigQuery, Databricks, Azure).

    • Strong knowledge of data modeling, data warehousing, and building ETL/ELT pipelines.

    • Familiarity with modern data orchestration tools (e.g., Airflow, dbt).

    • Excellent communication and collaboration skills.

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    Preferred Qualifications

    • Experience with real-time data streaming technologies (e.g., Kafka, Kinesis).

    • Familiarity with CI/CD for data pipelines and infrastructure-as-code (e.g., Terraform).

    • Experience supporting machine learning workflows and model deployment.

    • Background in insurance, financial services, or other highly regulated industries.

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