Job Description
Job Description
Qualifications
- Design and build scalable, cloud-native data platforms from greenfield to production
- Implement near-real-time ingestion pipelines using event-driven patterns
- Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts
- Refactor and optimise existing Spark and PySpark scripts for performance and maintainability
- Introduce best practices for code quality, testing, and CI/CD across data pipelines
- Drive adoption of AI tooling and agentic workflows within the data engineering team
- Ensure data quality, observability, and reliability across all pipelines and platforms
- Develop self-service tooling and microservices to simplify platform usage for other teams
Qualifications
- 5+ years of professional experience in Data Engineering
- Strong Python and SQL development skills for pipeline development and optimisati...
Apply for This Position
Ready to take the next step? Click the button below to submit your application.
Submit Application