Senior Data Engineer

at  Auckland Council

• Great company culture where staff are valued and supported
• Excellent benefits, LI-hybrid working model.
• Full-time permanent opportunity based in Auckland CBD
• Rem between $130K to $140K per annum
  Tātaki Auckland Unlimited combines the power of Auckland’s cultural richness with our successful destination management and economic development programs. We are New Zealand’s largest producer of cultural, entertainment, sporting, and wildlife experiences and the largest regional economic development agency in the country. Our work touches all Aucklanders and visitors to our region, creating a legacy for future generations.
  To know more about what we do and what’s on in Auckland visit our website: https://aucklandunlimited.com/

HE ANGITŪTANGA: THE OPPORTUNITY

Are you ready to unlock the full potential of data within our organization? We are looking for a skilled Senior Data Engineer to lead the design, development, and optimization of enterprise data assets, systems, and integration pipelines. In this role, you will drive the execution of our data strategy, supporting the organization’s digital transformation into a data-driven powerhouse.

Your day-to-day will include:

• Analyzing and organizing raw data to extract valuable insights
• Build and maintain robust data systems and pipelines, and run complex data analysis to interpret trends.
• Prepare data for prescriptive and predictive modeling, develop algorithms, and explore ways to enhance data quality.
• Work closely with data analysts and architects to develop tools and programs that empower smarter not harder decision-making.

For the full Position Description, click this link

HE KŌRERO MŌU: ABOUT YOU

We’re looking for someone with excellent communication skills, a strong understanding of database management systems and data management technologies, proficiency in data analysis, and experience with programming languages and machine learning methodologies. Your flexibility, integrity, and organizational skills will be invaluable in this role. If you have previous experience as a data engineer and technical expertise in data models and manipulation, join us and be part of shaping our data-driven future.

Skills in the below areas will be highly desirable:

• Azure Data Factory (Synapse Pipeline)
• Azure Synapse (Apache Spark/Delta lake), Azure SQL DB, or Databricks
• Azure Data-lake Storage, Gen 2
• Python/PySpark
• SQL/PySQL
• JSON Knowledge
• Rest API Knowledge
• Kimball Methodology
• Medallion Architecture
• Not essential, but good to have – Service Bus, Azure Function, Logic Apps.

Please refer the Job description for details