Key skills
CloudETLJavaMicroservicesPythonSparkSpringSpring BootSpringBootData EngineeringData WarehousingRESTfulEvent Streaming
About this role
Role Overview
- Develop innovative data driven solutions through data pipelines, modelling and ETL design
- Simplify organisation processes to deliver customer value by understanding complex business problems
- Engage with the data engineering community to deliver opportunities
- Build a scalable data architecture
- Build a strong understanding of API ecosystem and contribute to API‑enabled data services design
Requirements
- Experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, and exploration and analysis
- Data warehousing and data modelling capabilities
- A good understanding of modern code development practices
- Proven experience designing and building RESTful APIs and microservices, preferably using Java Spring Boot
- Experience integrating APIs with data pipelines, event streaming, or cloud‑based data platforms
- Strong programming experience in Java (Spring Boot) alongside Python and Spark
Tech Stack
- Cloud
- ETL
- Java
- Microservices
- Python
- Spark
- Spring
- Spring Boot
- SpringBoot
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities