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Senior Data Engineer

Robert Walters New Zealand

Auckland

On-site

NZD 80,000 - 120,000

Full time

Today
Be an early applicant

Job summary

A leading recruitment consultancy in Auckland is seeking a Data Engineer to leverage Microsoft technologies such as Azure Databricks and SQL. In this role, you will design and implement data solutions while ensuring data availability and security. The ideal candidate has a degree in a relevant field, proven experience with Azure, and strong analytical skills. This position offers flexible working arrangements and opportunities for growth.

Benefits

Flexible Working
Continuous learning opportunities
Supportive team environment

Qualifications

  • Extensive experience with Databricks Architecture.
  • Experience with data warehousing, lakehouse, ETL/ELT.
  • Knowledge of data security best practices.

Responsibilities

  • Collaborate with stakeholders to design secure data solutions.
  • Design scalable data pipelines using Azure services.
  • Implement security measures and monitor pipeline performance.

Skills

Proficiency in SQL
Experience with Microsoft Azure services
Python
PySpark
Strong problem-solving skills

Education

Degree in Computer Science, IT, or related field

Tools

Azure Databricks
Azure Data Factory
Azure SQL
Apache Airflow
Job description

Work with cutting-edge Microsoft technologies, including Azure Databricks, Azure Data Factory, and Azure SQL in a collaborative environment that values continuous learning.You'll design and build robust analytics capabilities while ensuring high-quality, well-governed data is available across the business for analytics, reporting, and operations.

What You'll Do
  • Collaborate with enterprise architects and stakeholders to design secure data solutions
  • Define data architecture standards and best practices
  • Evaluate and select tools within the Databricks ecosystem

Build & Maintain:

  • Design scalable data pipelines using Azure Databricks, Data Factory, and Azure SQL
  • Integrate diverse data sources (databases, APIs, files) into centralised repositories

Security & Performance:

  • Implement robust security measures and compliance protocols
  • Monitor and optimise pipeline performance for cost-effectiveness
  • Maintain comprehensive documentation and provide technical support
What You Bring
  • Degree in Computer Science, IT, or related field
  • Extensive experience with Microsoft Azure services and Databricks Architecture
  • Proficiency in SQL, Python, PySpark, Spark, Delta Lake
  • Experience with Azure Data Factory, Azure SQL, Azure Data Lake Storage
  • Apache Airflow orchestration experience (DAG design, scheduling, monitoring)
  • Strong understanding of data warehousing, lakehouse, ETL/ELT, data modelling
  • Experience with API integration and authentication methods
  • Knowledge of data security best practices

Highly Valued:

  • Microsoft or Databricks certifications
  • Experience with Fivetran, Terraform, OAuth 2.0
  • Knowledge of data governance frameworks
  • Big data and cloud platform experience

Personal Qualities:

  • Excellent problem-solving and analytical skills
  • Strong communication abilities with technical and non-technical teams
  • Collaborative mindset with troubleshooting expertise
Why Join Us?
  • Flexible Working: Work-life balance with flexible arrangements
  • Growth-Focused: Continuous learning opportunities and training resources
  • Collaborative Culture: Supportive team environment with knowledge sharing
  • Impact: Make meaningful contributions to strategic decision-making
  • Technology: Work with the latest Microsoft ecosystem technologies
Ready to Apply?

If you're passionate about data engineering and ready to advance your career in a supportive, innovative environment, we'd love to hear from you.

Apply now!!

Robert Walters endeavours to review all applications in a maximum of five working days. If you have not received correspondence within this timeframe please do not hesitate to contact Bianca Madden on 64 9 374 7300

About the job

Contract Type: Perm

Specialism: Information Technology

Focus: Data Analysis / Business intelligence

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