Data Engineer, Financial Services Risk Advisory - Sydney

Location:Sydney

  • Variety of work and career development opportunities
  • Be part of a high-performing, supportive culture

  • Work with a team of collaborators, innovators and the brightest minds in the industry
About EY

The opportunity

We’re looking for a Data Engineer to join our team! A person who has a demonstrative knowledge of the development & maintenance of data pipelines. You will be part of a specialist risk data and analytics team with links into the broader EY D&A community. This is a key role supporting analytics and broader risk management offering to our financial services clients. You can expect to work with top tier clients across insurance, banking, wealth/ asset management and superannuation.

The role is offered is full time or part time and there are a variety of flexible working arrangements available. Sponsorship is also an option.

Your Key Responsibilities
  • You will define the requirements and technical specifications for data sources, and work collaboratively with other business users and our clients to validate requirements for data transfer, ingestion and sharing

  • You will manage end to end delivery of data ingestion, manipulation, matching and orchestration to support data modelling, data science, and dashboard use cases data through developing data “pipes”

  • You will automate and tune of data flows
  • You will continuously develop new and improved data engineering best practice and capabilities and train your colleagues

Skills and Attributes for Success


We are looking for people who have most of the following skills and experience and/or have a willingness to learn. Unicorns are welcome.

  • At least 5 years’ experience as a Data engineer or Software Engineer or a programmer within one or more of the following domains Data, Business Intelligence, Data Warehousing, Analytics and/ or Data Science

  • The ability to work within complex and challenging data environments
  • Experience programming in a variety of languages and tools (e.g. SQL, C/C , Java, Python, R, Spark, Scala)

  • Experience with one or more of any of the following\:
    • Batch ETL tools such as Informatica, DataStage, Microsoft SSIS, Matillion, or Talend and/or;
    • Open source data integration tools such as Kafka or Nifi and/or;
    • Data Wrangling tools such as Alteryx or Lavastrom
  • Solid understanding of dimensional data modelling and very strong relational database skills

  • Proven experience in collaborating with analytics, reporting professionals and data scientists generating actionable insights

  • Project management skills and experience managing multiple projects
  • A risk mindset

Ideally, you’ll also have

  • Experience on a cloud based big data platform such as AWS and Azure
  • Experience in engaging with both technical and non-technical stakeholders

  • Exceptional communication, documentation, project management and presentation skills

  • Insurance, Banking and Wealth Management experience an advantage but not essential

  • Risk management experience an advantage but not essential
  • Data Vault 2.0 certification will be an advantage but not essential
  • SnowPro certification will be an advantage but not essential
  • Alteryx certification will be an advantage but not essential