Senior Data Engineer

10 hours ago

Auckland, Auckland, New Zealand Randstad New Zealand Full time

The Company

Our client is a proud Kiwi owned and operated business. They are an industry leader in the financial services sector and are well-known for helping and protecting Kiwi families and businesses.

The Role

Responsibilities
As a Senior Data Engineer you will be responsible for building and optimising data pipelines and platforms. You'll work with SQL, Python, and modern data technologies to support remediation project in a dynamic enterprise environment.This includes:

  • Developing and maintaining data pipelines and ETL processes
  • Designing and optimising SQL queries and database structures
  • Build scalable solutions using Python for data processing
  • Collaborate on projects leveraging Databricks or Snowflake

This is an initial 4-month contract located in Auckland CBD with a high possibility of extension.

Key Requirements

  • Over 7 years of demonstrated experience as a Data Engineer
  • Experience working on Remediation Project
  • Solid experience in SQL development and optimisation
  • Proficiency in Python for data engineering tasks
  • Solid experience with Microsoft Fabric and PySpark
  • Understanding of cloud-based data platforms and ETL tools
  • Strong problem-solving and collaboration skills
  • Previous experience in enterprise-scale environment

To submit your application, in strict confidence, please apply online using the appropriate link below. Alternatively, for a confidential discussion, please contact Moyan Zhang in our Auckland office on

Your interest will be treated in the strictest of confidence.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.

key responsibilities

  • As a Senior Data Engineer you will be responsible for building and optimising data pipelines and platforms. You'll work with SQL, Python, and modern data technologies to support remediation project in a dynamic enterprise environment.This includes: D

Skills
SQL, Python, PySpark, Fabric, Databricks, ETL

Qualifications

  • Over 7 years of demonstrated experience as a Data Engineer. Experience working on Remediation Project. Solid experience in SQL development and optimisation

education

Vocational/Professional Qualification&ICT

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