Senior Data Engineer

Innovation starts from the heart. At Edwards Lifesciences, we’re 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 enterprise‑grade software and data solutions with strong focus on SQL‑based 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 you’ll make an impact:

• Develop and maintain ETL/ELT pipelines, data transformations, and backend services, with core logic implemented in SQL. In Snowflake environment-
• Perform SQL‑driven data analysis to validate business logic, investigate data quality issues (e.g. duplicates, missing data), and perform root‑cause analysis across datasets and pipelines.
• Design and document data models, transformations, and source‑to‑target mappings to ensure analytics‑ready 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 AI‑assisted development tools (e.g. for SQL generation, analysis, documentation, and testing support) to improve productivity and solution quality.
   

What you’ll need (Required):

• Bachelor’s 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, problem‑solving, 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, Git‑based 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 analytics‑focused 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.