Senior Data Engineer at FinXL
Sydney, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

09 Oct, 25

Salary

0.0

Posted On

09 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Sql, Hive, Data Services, Kubernetes, Docker, Presto, Airflow, Data Engineering, Aws, Bitbucket, Spark, Design Patterns, Scalable Architecture, Python

Industry

Information Technology/IT

Description

JOB DESCRIPTION

FinXL IT is seeking a Senior Data Engineer to join our growing team and work with a leading financial services organisation. This is an exciting opportunity to be part of a dynamic, fast-paced environment where innovation and collaboration are at the core of everything we do.

REQUIREMENTS

  • Strong hands-on coding skills in Python.
  • Solid experience with SQL, including complex queries and DDL scripting.
  • Broad knowledge of design patterns and scalable architecture for medium to complex applications.
  • Practical experience with Docker, Kubernetes, and AWS.
  • Experience working in Linux/Unix environments.
  • Familiarity with API-based integrations and modern data services.
  • Hands-on experience with big data querying tools such as Redshift, Hive, Spark, or Presto.
  • Experience with orchestration tools such as Airflow or Argo Workflows.
  • Comfortable using Bitbucket or similar source control systems.
  • Awareness of security concepts and best practices in data engineering.
Responsibilities

ABOUT THE ROLE

As a Senior Data Engineer, you will play a key role in designing and delivering data solutions that support critical business operations and insights. You’ll be hands-on with the latest technologies and responsible for building robust, scalable systems within a modern cloud-based architecture.

KEY RESPONSIBILITIES

  • Design, build and maintain scalable data pipelines and data services.
  • Develop clean, efficient, and reusable code using Python.
  • Implement modern data architectures in clustered environments.
  • Collaborate with cross-functional teams to integrate APIs and manage big data platforms.
  • Ensure system reliability, scalability, and performance in cloud-based ecosystems.
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