Senior Data Engineer

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profile Job Location:

Geelong - Australia

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

Introduction

Remarkable people; remarkable career.

Are you ready to rediscover remarkable and make a positive impact on peoples lives At GMHBA every day brings an opportunity to empower and support communities to live well. Join us to be part of something meaningful and discover the remarkable benefits of working at GMHBA.

GMHBA takes pride in being an Australian not-for-profit health insurance and healthcare company that truly values its members. For a rewarding 90 years weve been dedicated to serving the community and as a result have become one of Australias leading regionally based private health insurers. We live and breathe exceptional care and are dedicated to making GMHBA a remarkable place to work. We value building connections embrace individuality and maintain a supportive performing culture. GMHBA offers a flexible workplace a community-focused culture and a great regional lifestyle.



Description

The role:

GMHBA is on a data-driven journey to enhance business intelligence and analytics across the organisation. As a Senior Data Engineer you will design build and maintain scalable data solutions that transform raw information into actionable insights. Youll work with Azure cloud environments manage complex data feeds and ensure data integrity and quality while partnering with stakeholders to deliver timely reporting and analytics that drive decision-making. This role offers the chance to contribute to meaningful business change support compliance and audit processes and strengthen GMHBAs data capabilities across the organisation.

This is a full time 6 month fixed term contract. We offer hybrid working with the option to work from home 3 days per week.



Skills And Experiences

The ideal candidate:

  • 5 years experience in SQL development and data engineering roles with tertiary qualifications in Computer Science or a related field (or equivalent experience).
  • Experience with Azure Synapse Azure Data Factory Azure Data Lake Storage and Azure SQL Managed Instance/DB.
  • Hands-on experience with ETL/ELT pipelines warehouse automation data modelling (Kimball Dimensional Relational) and SQL-based solutions including stored procedures and analytical data marts.
  • Strong understanding of data governance integrity quality and advanced techniques such as CDC watermarking and SCD.
  • Experience providing technical advice to stakeholders supporting regulatory compliance reporting and contributing to business change initiatives.

If you believe you would excel in this role but dont quite meet all the listed skills and experience we encourage you to apply.

Lets get started.
Submit your application online today. Applications close 8th October
If you have any questions about this position or the recruitment process please reach out to the careers team at

At GMHBA we are committed to building a diverse and inclusive workplace where everyone feels respected valued and empowered to be their authentic selves. We believe that inclusion strengthens our organisation enriches our culture and allows us to better support our members patients and actively welcome and encourage applications from people of all backgrounds identities and experiences.

In submitting an application you agree that you have read and accepted the terms and conditions of our recruitment privacy statement: note candidate screening and interviews may commence prior to the closing of the advertisement so get your application in as soon as possible.




Required Experience:

Senior IC

IntroductionRemarkable people; remarkable career.Are you ready to rediscover remarkable and make a positive impact on peoples lives At GMHBA every day brings an opportunity to empower and support communities to live well. Join us to be part of something meaningful and discover the remarkable benefit...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala