Senior Data Engineer
Summary
12-month contract (extendable) via Lime Recruitment placing a Senior Data Engineer inside a large Queensland organisation's enterprise data team. Day to day: building Databricks Lakehouse pipelines and curated data assets with SQL, Python and PySpark, plus CI/CD support. Hybrid out of Newstead with WFH, paid daily market rates.
Contract for 12 months + potential to extend | Hybrid (Newstead + WFH) / Daily market rates
Lime Recruitment is currently working with a large Queensland organisation to recruit a Senior Data Engineer for an initial 12-month contract+ potential to extend.
You'll join an established enterprise data team responsible for a modern Databricks Lakehouse platform supporting reporting, analytics and data driven decision making across the organisation.
This is a hands-on engineering role focused on building scalable data pipelines, curated data assets and reusable engineering solutions across a complex enterprise environment.
What you'll be doing
- Develop data ingestion, transformation and orchestration solutions using Databricks
- Build curated data assets for reporting and analytics
- Develop and optimise SQL, Python and PySpark solutions
- Contribute to reusable engineering frameworks and patterns
- Support CI/CD, automated deployments, testing and code management
- Work across enterprise data sources and project driven requirements
What we're looking for
- 5 plus years Data Engineering, Data Warehousing or Analytics Engineering experience
- 3 plus years hands on Databricks experience
- Strong SQL, Python and PySpark
- Cloud based data pipeline and orchestration experience
- Data modelling and curated data asset delivery
- CI/CD and source control experience
- AWS experience highly regarded
- Unity Catalog, Delta Live Tables, Databricks Workflows or Asset Bundles highly regarded
- Fivetran or similar integration tooling highly regarded
This is a strong opportunity for an experienced Databricks engineer looking for a long-term contract within an established enterprise data environment.