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AI Data Engineer

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Credit Corp Group
Sydney NSW
Full Time

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Posted 7 months ago
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Posted 1 month ago

Job no: 495054
Work type: Full-time
Location: Sydney - CBD
Categories: Business Innovation, Information Technology

Credit Corp is Australia's largest provider of sustainable financial services to the credit impaired consumer segment. We are an ASX listed company with over 2200+ staff in multiple locations in Australia, USA, New Zealand and Philippines. We work closely with regulators to provide sustainable financial solutions with the objective of improving our customers’ circumstances as a pathway to mainstream financial inclusion.

The Role:

We're seeking an expert Data Engineer who is passionate about building scalable data infrastructure to support cutting-edge AI. You are a hands-on engineer who understands that trusted AI is built on a foundation of high-quality, reliable data. You have a proven track record of designing and implementing complex data pipelines, integrating diverse data sources, and ensuring data governance and quality in a production environment.

You are methodical, detail-oriented, and thrive on solving complex data challenges. As Credit Corp executes an ambitious roadmap to expand its AI capabilities, this role is critical. You will have the unique opportunity to build the data architecture and best practices that will underpin our AI future, creating a lasting impact on the organization.

You will have:

  • Exceptional communication skills
  • 5+ years of hands-on experience in data engineering, with a proven track record of building and managing production data pipelines.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Deep expertise in cloud data platforms, particularly GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
  • Strong proficiency in SQL and programming languages like Python for data manipulation and pipeline development.
  • Experience with data modelling, ETL/ELT design, and data warehousing concepts.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes).
  • Knowledge of data governance, data quality frameworks, and best practices for managing data in regulated environments.
  • Experience with real-time data streaming technologies and event-driven architectures is highly desirable.
  • Excellent organisation and time management skills

In order to be successful in this role you will be driven, highly motivated and eager to learn.

If you’re looking for an opportunity to work for a financial services organisation which offers growth and development and has a great culture, then this is the role for you.

Advertised: 25 Nov 2025 AUS Eastern Daylight Time