Data Engineer

Job description

About FinXL IT

FinXL IT Professional Services is a leading IT consultancy that partners with clients to bridge the gap between business needs and technology capabilities. Since 2003, we've been delivering high-value ICT services across government, finance, telecommunications, and enterprise sectors.

FinXL IT is seeking an experienced Data Engineer to join our consulting team and be deployed with a leading banking client on a key transformation engagement.

Responsibilities

  • Provision and manage data platforms using AWS EKS, S3, OpenSearch, and RDS

  • Design and optimise Spark data pipelines for large-scale structured data

  • Integrate diverse data sources with platform and vendor product teams

  • Conduct end-to-end data flow analysis across multiple complex systems

  • Implement robust data governance, quality, and control frameworks

  • Build enterprise-grade orchestration using Airflow, Argo, or Control-M

  • Collaborate within Agile teams to deliver financial crime detection solutions

Key Skills & Experience

  • Strong hands-on development in Spark using Scala, Java, or Python

  • Experience building pipelines into and out of data platforms

  • Proficiency with AWS technologies including EKS, S3, IAM, and RDS

  • Expertise in SQL (Oracle/PostgreSQL) and working with Parquet/ORC formats

  • Experience with CI/CD tools such as Bitbucket, Bamboo, and Argo

  • Solid understanding of container frameworks including Docker and Kubernetes

  • Background in financial crime, fraud, or compliance data projects

What's On Offer?

  • Initial 12 months' contract, with a view to extend

  • Located in Sydney CBD
  • Hybrid working arrangement (3 days in the office and 2 days remote)
  • Join a leading IT consultancy on a high-priority financial crime project

  • Long-term opportunity to drive data governance and CI/CD innovation

Next Steps

If you would like to apply for this opportunity, please submit your CV via SEEK. Please note that due to the volume of responses, only shortlisted consultants will be contacted.

Job number (S4)