Lyrebird Health

Data Engineer

Lyrebird Health

full-time

Posted on:

Location Type: Hybrid

Location: MelbourneAustralia

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About the role

  • Build end-to-end data pipelines from source systems to analytics-ready tables.
  • Design and maintain core data models that power product analytics, finance reporting, and dashboards.
  • Work with cloud data warehouses (BigQuery, Snowflake, Databricks) to deliver scalable solutions.
  • Use code-based transformation tools (e.g. dbt, AWS Glue) to create reliable, tested data models.
  • Collaborate closely with product, engineering, and business stakeholders to understand requirements and define data solutions.
  • Enable self-serve analytics by supporting BI tools like Looker, Sigma, and SQL-based reporting.
  • Contribute to CI/CD pipelines for data using GitHub and GitHub Actions.
  • Improve data quality, reliability, and observability as the platform scales.

Requirements

  • Strong fundamentals in SQL and Python.
  • Solid understanding of data warehousing and data modeling concepts.
  • Hands-on experience building pipelines on cloud data warehouses (BigQuery, Snowflake, or Databricks).
  • Experience with code-driven data transformation tools (dbt, AWS Glue, or similar).
  • Experience working with modern BI tools (Looker, Sigma, or SQL-based tools).
  • Comfortable using GitHub for version control and GitHub Actions for CI/CD.
  • Strong communication skills — able to clearly explain data concepts and trade-offs to both technical and non-technical audiences.
  • Stakeholder management experience — comfortable gathering requirements, aligning on definitions, and managing expectations in a fast-moving environment.
Benefits
  • Strong communication skills — able to clearly explain data concepts and trade-offs to both technical and non-technical audiences.
  • Stakeholder management experience — comfortable gathering requirements, aligning on definitions, and managing expectations in a fast-moving environment.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythondata warehousingdata modelingdata pipelinesdata transformationCI/CDdata qualitydata reliabilitydata observability
Soft Skills
communicationstakeholder management