Get recognition and reward working with this a pioneering industry leader, as they embark on a transformative journey! As a Data Engineer your work at all levels for a global financial services company who are building a scalable platform that enables end-to end data management solutions ranging from AI-enabled products to data driven creative services. The core of the business unit is data and as a Data Engineer, you’ll be responsible for ensuring the development of their robust data platform. You’ll be part of the Data Intelligence Tribe which brings together all of the diverse data sources that then getting turned into intelligence. What you’ll be doing: Working closely with a cross functional team of data management professionals, engineers and product managers, you’ll be an integral part of the data engineering chapter and be involved in developing big/fast data services to meet business objectives. You’ll also: Work with the business in designing and delivering data-driven products and promoting a data-driven culture Work with Engineers to develop big-data solutions Migrate from Cloudera to AWS glue Collaborate with Data Scientists to productionise and deploy models Design cloud infrastructure solutions Ideally you will have: 5 years of experience in a data engineer role. Expert level SQL skills. Experience with a general purpose programming language e.g. Java, Python,Hive, Spark or Kafka Worked with cloud platforms such as AWS, Hadoop and Cloudera Experience working with AWS glue ETL tool Experience working with big data/data science tools Understanding of data modelling techniques e.g. Kimball, Experience of agile development practices. Familiar with access security and Data Governance . For more information on this role or others like this in the market apply below or contact adele.fernandez @mane.com.au.