About the role:
This role requires technical expertise in scaling data processing systems for high
performance AI applications and the ability to partner and collaborate with a diverse of teams
including scientists, innovators, operations and researchers from different fields.
Job Responsibilities
- Design and implement components of a robust, scalable data pipelines and
- infrastructure
- Lead the development of data processing systems using cloud technologies
- Optimize data storage and retrieval for high-performance AI applications
- Collaborate with AI/ML teams to support model development and deployment
- Evaluate and integrate new technologies to enhance our data capabilities
- Partner and collaborate with a diverse set of teams incl. science, research, product,
- business development and operations
Job Requirements
- Significant experience in data engineering at scale
- Strong knowledge of data management tools and technologies including ETL
- frameworks, database engines, and file and object stores
- Experience building secure/scalable platforms/products on cloud
- Experience partnering with research and product teams
- Strong software engineering experience with software design / architecture skills
- Extensive enterprise programming experience writing production code using any
- mainstream programming languages, e.g. Python
- Experience with data modelling, ETL processes, and data warehousing
- Familiarity with ML/AI workflows and data requirements
Benefits:
Hybrid working policy
Travel allowance
Competitive Salary: 70,000 – 75,00
