Data Engineer at leading online insurance platform for businesses. Delivering data pipelines and collaborating cross - functionally to enhance decision - making.
About the role
- Data Engineer building trusted data platforms for decision making at Lyrebird Health. Collaborating with teams to develop and maintain data pipelines and analytics-ready tables.
Responsibilities
- 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.
Job title
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Not specified
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