Data Engineer - R&d Dashboarding

Merck & Co., Inc.

Prague, Czech Republic
Competitive salary; incentive pyy mentioned; benef...
Hybrid
Strong sql and etl pipeline development skills
Experience with power bi or spotfire dashboarding
Proficiency in python scripting for data tasks
Merck & Co., Inc. is seeking a Data Engineer for their R&D Dashboarding team in Prague, Czech Republic, to create data-driven solutions that support decision-making in animal health research. The ideal candidate will have a strong background in data engineering, experience with cloud platforms, and excellent collaboration skills

Job Summary

  • The role focuses on transforming complex research data into intuitive dashboards that empower scientists to make faster decisions in animal health R&D.
  • Candidates will collaborate with multidisciplinary teams to build scalable analytics assets and reusable pipelines across various drug development phases.
  • The company offers a hybrid working model, competitive salary, incentive pay, and extensive benefits including 5 weeks of annual leave and paid volunteering hours.

Matching Summary

Match Score: 85

Merck & Co., Inc. is seeking a Data Engineer for their R&D Dashboarding team in Prague, Czech Republic, to create data-driven solutions that support decision-making in animal health research. The ideal candidate will have a strong background in data engineering, experience with cloud platforms, and excellent collaboration skills.

Salary

Competitive salary; Incentive pay mentioned; Benefits include pension, health contributions, and cafeteria options

Skills & Requirements

Must-have

  • Strong SQL and ETL pipeline development skills
  • Experience with Power BI or Spotfire dashboarding
  • Proficiency in Python scripting for data tasks
  • AWS cloud infrastructure deployment experience
  • Ability to design data models for reporting

Nice-to-have

  • Familiarity with Figma for UI/UX prototyping
  • Background in pharma or scientific R&D environments
  • Experience with Databricks, Spark, or dbt frameworks
  • Understanding of statistics and data science concepts
  • Interest in improving scientist-data interaction through design

Key Requirements

  • Bachelor's or Master's degree in STEM fields like Biochemistry
  • 2–5 years of experience in data engineering or analytics
  • VISA Sponsorship available for eligible candidates

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter