data engineer in Sydney

posted
contact
nathan sabherwal, randstad
job type
permanent

job details

posted
location
sydney, new south wales
specialism
IT & ICT
job type
permanent
working hours
Full-Time
reference number
90M0424198_1611897391
contact
nathan sabherwal, randstad
Apply with
add to saved jobs print

job description

About the company

My client is a leading and growing insurance company in Australia. The business underwrite several billion of premium per annum and they sell insurance under many leading brands. They sell a range of commercial insurance products across Australia.

About the role

Because of their immense growth in their portfolio, an exciting opportunity has come up in one of their offices in Sydney. They are urgently looking an experienced Data Engineers support their technical teams in one of the areas of business within the group

Skill Sets

You need to have the following skill sets to excel in this role:

  • Extensive experience working as a data engineer
  • Experience working in financial services sector (ideally insurance)
  • Experience working in designing and developing environment using Spark and Scala
  • Extensive experience using python
  • Experience in job scheduling (using Airflow, control M)
  • Experience in Kafka streaming will be highly regarded.
  • Experience in dockers, containers and kubernetes

It is an urgent position and my client is interviewing candidates at the moment. It is an exceptional opportunity for someone who has strong Data Engineering experience and has worked in Python, spark, dockers and kubernetes. Only Australian Permanent Residents and Citizens required for this role.

For more information on the role, please either apply or contact Nathan Sabherwal on 02 8235 3344. Randstad is a specialist recruitment agency specializing in IT, Accounting and Corporate Services, Engineering and Sales & Marketing. We can always help you in finding the right permanent or contract role.

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.

skills

Data Engineer

qualification

Data Engineer with KAFKA, SPARK, Scala, Python, Pyspark experience

educational requirements

Primary School/Junior High