Data Engineering Specialist

2 days ago

Brisbane, Queensland, Australia beBeeEngineering Full time $90,000 - $150,000

Overview

This role bridges the gap between data science and engineering, supporting the deployment of machine learning pipelines, productionizing models, and streamlining orchestration processes.

Your Key Responsibilities:

  • Collaborate with Data Scientists to build and maintain ML and data pipelines using Databricks (PySpark, Delta Lake, MLflow).
  • Design and implement orchestration workflows using tools like Databricks Workflows.
  • Manage model deployment, versioning, and lifecycle using MLflow or similar tools.
  • Set up and monitor CI/CD pipelines for data science and ML applications.
  • Build simple backend services or lightweight frontends to support demo applications or PoCs.
  • Ensure code quality, modularity, and reusability across pipelines and tools.
  • Contribute to documentation, tooling, and infrastructure to accelerate experimentation and delivery.
  • Work with DevOps teams to ensure scalable, secure, and efficient operation of ML services.

Required Skills and Qualifications

We are seeking a highly skilled professional with:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
  • Solid Python and SQL programming skills, especially in data and ML contexts.
  • 2-5 years' experience with Databricks or equivalent data platforms.
  • Familiarity with ML lifecycle tools (MLflow, etc.).
  • Understanding of modern orchestration tools.
  • Experience with Git and CI/CD tools (e.g., GitHub Actions, Azure DevOps).
  • Knowledge of REST API development and basic frontend skills (optional but a plus).
  • Familiarity with cloud platforms (AWS, Azure, or GCP).

Benefits

We offer a competitive salary, generous commission scheme, career opportunities, and an impressive Employee Benefits Programs. Our work environment is designed to help you thrive, with 3 'recharge' days per year, free coffee, and a funky café.

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