Senior Data Engineer

Innovation starts from the heart. At Edwards Lifesciences were dedicated to developing ground-breaking technologies with a genuine impact on patients lives. At the core of this commitment is our investment in cutting-edge information technology. This supports our innovation and collaboration on a global scale enabling our diverse teams to optimize both efficiency and success. As part of our IT team your expertise and commitment will help facilitate our patient-focused mission by developing and enhancing technological solutions.

In the role of a Senior Data Engineer you will be responsible for designing developing and maintaining enterprisegrade software and data solutions with strong focus on SQLbased data processing ETL pipelines and data quality. The role builds on solid software engineering fundamentals with a clear path toward modern data platforms and analytics solutions.

How youll make an impact:

• Develop and maintain ETL/ELT pipelines data transformations and backend services with core logic implemented in Snowflake environment-
• Perform SQLdriven data analysis to validate business logic investigate data quality issues (e.g. duplicates missing data) and perform rootcause analysis across datasets and pipelines.
• Design and document data models transformations and sourcetotarget mappings to ensure analyticsready datasets.
• Ensure data solutions meet enterprise quality security and compliance standards including validation monitoring and consistent data definitions.
• Create clear technical documentation for data pipelines transformations and design decisions.
• Use AIassisted development tools (e.g. for SQL generation analysis documentation and testing support) to improve productivity and solution quality.
  

What youll need (Required):

• Bachelors degree in Computer Science Engineering or related field.
• 5 years of experience in software or data engineering roles.
• Strong SQL skills (complex queries joins aggregations analytical functions) and solid understanding of data structures and data modeling.
• Experience with ETL/data processing and enterprise systems.
• Strong analytical problemsolving communication and documentation skills.

What else we look for (Preferred):

• Experience or interest in modern data platforms (e.g. Databricks).
• Exposure to data integrations (APIs ingestion pipelines).
• Familiarity with Power BI or enabling datasets for BI/reporting.
• Experience with CI/CD practices Gitbased version control and tools such as Jenkins.
• Working knowledge of Python for data processing automation or pipeline development.
• Interest in growing further into data engineering and analyticsfocused work

What is it like to work at Edwards Lifesciences in the Czech Republic

As a global leader in patient-focused medical innovations we offer rewarding opportunities and exciting challenges in a truly international dynamic and friendly work environment.

We are committed to fostering a diverse and inclusive work environment where all employees can grow personally and professionally. To achieve this we offer on-the-job development training opportunities and the support and guidance provided by dedicated employee groups (the Edwards Network of Women Edwards Foundation charity team sustainability activities and others).

Edwards Lifesciences in the Czech Republic also offers the following benefits:
Competitive Compensation and Benefits package
Flexible working hours home office possibility
Pension Plan Risk Life Insurance
Virtual Medical Clinic (online access to healthcare)
Meal Benefits
Service Awards
Enhanced Sick Leave Benefits
Flexible Benefit Plan (Cafeteria)
Employee Stock Purchase Program
Employee Assistance Program
Comprehensive Wellness Program including onsite gym Yoga Pilates or SM System classes massages fresh fruit in the office healthy lifestyle workshops educational events charity activities and much more.

Benefits are regulated by an internal policy which contains the full details regarding the entitlement and conditions for the benefits. Benefits policy and components may vary by location.