Responsibilities
- Collaborate with cross-functional teams to design, develop and maintain data pipelines and analytics solutions
- Design and build a foundational platform for a modern data lake architecture, optimising it for scalability, flexibility, and performance
- Develop automated tests to ensure data accuracy and quality
- Continuously improve the platform to boost developer productivity and act as an internal expert and sparring partner on how the organisation gets the most out of Databricks
- Leverage your expertise in cloud development to design and implement innovative digital solutions focused on delivering business insights and patient care in real time
Requirements
- Strong proficiency in Python programming
- Extensive experience with Databricks on Azure or AWS
- Experience in using Spark, including Spark SQL and understanding of how to optimize Spark performance
- Familiarity with DevOps practices — CI/CD, infrastructure-as-code, automated testing
- Exposure to data mesh or domain-oriented data architecture
- Experience working with OMOP or other clinical data standards
- Working in pharma domain or other regulated area is considered an advantage
Benefits
- Opportunities to learn and develop are all around us, while our benefits are designed with your career and life stage in mind.
Work Arrangement
On-site
Team
Team size: 15. Structure: Data Platforms & Integrations
Additional Information
- We are further looking for a colleague who is open to feedback to grow new soft skills, works independently and attends to deadlines. As our corporate language is English, we expect you to be fluent both in writing and spoken.
- We will review the applications on an ongoing basis, so we encourage you to apply as soon as possible. You do not need to attach a cover letter to your application, but please include a few sentences about why you are applying in your resume or CV. To ensure an efficient and fair recruitment process, please refrain from adding a photo to your CV.
