job details posted 29 January 2021 location sydney, new south wales specialism IT & ICT job type permanent working hours Full-Time reference number 90M0424198_1611897391 contact nathan sabherwal, randstad apply now Apply with add to saved jobs email this job print job description About the companyMy 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 roleBecause 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 groupSkill SetsYou need to have the following skill sets to excel in this role:Extensive experience working as a data engineerExperience working in financial services sector (ideally insurance)Experience working in designing and developing environment using Spark and ScalaExtensive experience using pythonExperience in job scheduling (using Airflow, control M)Experience in Kafka streaming will be highly regarded.Experience in dockers, containers and kubernetesIt 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 share Facebook LinkedIn Twitter