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Junior-Mid Data Engineer
2 months ago
- 9 Month contract - Hybrid work 1 Day in Syd CBD, 4 Days WFH
- Great learning / mentoring by leading Data Science / ML Manager
- Latest Tools and Tech: APIs, BigQuery, GCP, Docker, Python, SQL
This is a truly exciting opportunity for an aspiring Data or Machine Learning Engineer to join an established, growing team This could be a rare opportunity for a junior Data Engineer or ML Engineer to work with great mentors on an exciting project with a large Australian retailer.
Main responsibilities include; Data pipeline build & optimisation; Solutioning and teamwork to build POC / deploy; working with Data Scientists on LLM / genAI projects; developing data foundations and data quality checks.
Experience & Skills required:
- Bachelor Degree or higher in Computer Science, Software Engineering or similar
- 1-2 years (Minimum) of professional experience in a Data Engineer or Machine Learning engineer role
- Hands-on Experience building APIs for data ingestion
- Intermediate skills with SQL, Python and building data pipelines
- Used Git, ideally some CI/CD and Docker
- Some cloud platform / Cloud DWH experience (BigQuery is preferred, but Redshift or Snowflake is OK)
- Any experience (self-learning or professional) using LLMs such as OpenAI, Claude, etc, is advantageous
Location: Hybrid work 1 Day in Sydney CBD, 4 days work-from-home
Pay Range: $58 - $70 per hour including superannuation
Potential for longer/permanent work: Yes - depending on performance and skills both are possible
Apply now