Data Engineer

12 hours ago


Sydney, New South Wales, Australia Pathway Search Full time $80,000 - $120,000 per year

Data Engineer – Databricks / AWS (Mid–Senior Level) Sydney | Hybrid Work | Fintech Scale-Up Environment

Are you a Data Engineer who loves building scalable data pipelines and enabling real-time machine learning systems?

Join a fast-growing tech company that's transforming how Australians interact with data-driven products — using cutting-edge cloud and ML infrastructure to deliver seamless digital experiences.

You'll be part of a high-impact Data & ML Engineering team responsible for the platforms, pipelines, and frameworks that power real-time insights and intelligent customer experiences.

What You'll Do

  • Design, build, and maintain data pipelines and ETL frameworks in Databricks and AWS
  • Support real-time inference and model deployment pipelines for low-latency ML systems
  • Collaborate with Data Scientists and ML Engineers to productionise models and improve reliability
  • Implement best practices in data quality, testing, observability, and version control
  • Contribute to evolving the data platform architecture and engineering standards

What We're Looking For

  • 3–6+ years' experience in Data Engineering or similar roles
  • Strong hands-on experience with Databricks (Spark, Delta Lake, dbt or similar)
  • Solid background with AWS data stack (S3, Glue, Lambda, Redshift, Kinesis, etc.)
  • Skilled in Python and SQL for data transformation and automation
  • Understanding of MLOps concepts (model deployment, monitoring, automation)
  • Experience or exposure to real-time / online inference pipelines and streaming data
  • Strong engineering principles — CI/CD, version control, testing, performance optimisation
  • Bonus: experience with MLflow, Airflow, or Terraform

Why You'll Love It Here

  • Be part of a modern data culture where your work directly supports ML-driven products in production
  • Work alongside a collaborative, high-performing team passionate about data and impact
  • Hybrid work flexibility (Sydney-based)
  • Competitive salary + potential equity
  • Real opportunity for career growth as the team scales

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