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Senior Data Engineer

MSD

Senior Data Engineer

full-timePosted: Jan 22, 2026

Job Description

Categories: Pharmaceutical, Data Engineering, Research & Development

Job Description

The Position

For Our Company, we are looking for a highly talented and motivated Data Engineer to join the R&D team.

As a Data Engineer you will develop the company’s animals Data platform. The Data platform plays a major part in the company vision; it is responsible for collecting, storing, and analyzing data from various sources and exposing it to various data consumers. You will design, develop, and optimize our data platforms and build scalable and robust data systems that handle large-scale data.

We are looking for an engineer with a real passion for Data who is willing to learn about business and build products based on analytics. The ideal candidate is a strong and independent individual with a solid background and experience in cloud and big data technologies who knows how to design and develop state-of-the-art ELT processes for data products.


What will you do?

  • Build data pipelines and sub systems that are scalable and sustainable throughout their lifecycle.
  • Build efficient, extensible data models from a variety of sources.
  • Work closely with various stakeholders and data scientists to roll out new products.


Qualifications, Skills & Experience Required

  • A minimum of 5 years of experience in data engineering, with a proven track record of delivering solutions that support the product and/or internal stakeholders.
  • A minimum of 3 years of experience in cloud-based data platforms such as Databricks or Snowflake.
  • Extensive knowledge in data platform modeling (f.e. start schema modeling).
  • BSc in industrial engineering or equivalent. 
  • Experience in designing, building, deploying, and maintaining complex end-to-end data pipelines.
  • Strong proficiency in SQL, including advanced query optimization techniques.
  • Experience with monitoring procedures and data quality tools.
  • Strong proficiency in Python programming, with experience in building data pipelines.
  • Team player with a passion for collaboration and driving growth.


Nice to have

  • Experience with Airflow, DBT, Databricks, Azure data factory.
  • Experience with cloud platforms like AWS, Azure, or GCP.


What we offer

  • Exciting work in a great team, global projects, international environment 
  • Opportunity to learn and grow professionally within the company globally 
  • Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases) 
  • Pension and health insurance contributions 
  • Internal reward system plus referral programme 
  • 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution 
  • Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card 
  • Vodafone, Raiffeisen Bank and Foodora discount programmes 
  • Up-to-date laptop and iPhone 
  • Parking in the garage, showers, refreshments, massage chairs, library, music corner 
  • Competitive salary, incentive pay, and many more 


Ready to take up the challenge? Apply now! 
Know anybody who might be interested? Refer this job!

Required Skills:

Accountability, Accountability, Amazon Web Services (AWS), Animal Care, Animal Handling, Business Intelligence (BI), Database Administration, Databricks Platform, Data Engineering, Data Management, Data Modeling, Data Quality Assurance, Data Visualization, Data Warehouse Development, Design Applications, Industrial Engineering, Information Management, Microsoft Azure Databricks, New Product Development, Python (Programming Language), Quality Assurance (QA), Software Development, Software Development Life Cycle (SDLC), Solutions Delivery, System Designs {+ 1 more}

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

02/9/2026

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Locations

  • Prague, Central Bohemian, Czechia

Salary

Estimated Salary Rangemedium confidence

78,750 - 121,000 USD / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Cloud-based data platforms (Databricks or Snowflake)advanced
  • Data platform modeling (e.g., star schema)advanced
  • SQL (advanced query optimization)advanced
  • Python programming (data pipelines)advanced
  • Data pipeline design, building, deployment, and maintenanceadvanced
  • Monitoring procedures and data quality toolsintermediate

Required Qualifications

  • Minimum 5 years in data engineering with proven track record (experience)
  • Minimum 3 years in cloud-based data platforms (Databricks or Snowflake) (experience)
  • BSc in industrial engineering or equivalent (degree)
  • Strong proficiency in SQL and Python (experience)

Responsibilities

  • Build scalable and sustainable data pipelines and subsystems throughout their lifecycle
  • Build efficient, extensible data models from a variety of sources
  • Work closely with stakeholders and data scientists to roll out new products
  • Design, develop, and optimize data platforms for large-scale data handling
  • Develop state-of-the-art ELT processes for data products
  • Collect, store, and analyze data from various sources for the animal data platform

Benefits

  • career: Join innovative R&D team working on company vision for animal data platform
  • professional: Opportunity to learn business domain and build analytics-based products
  • work environment: Collaborative team player environment driving growth and stakeholder engagement

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MSD logo

Senior Data Engineer

MSD

Senior Data Engineer

full-timePosted: Jan 22, 2026

Job Description

Categories: Pharmaceutical, Data Engineering, Research & Development

Job Description

The Position

For Our Company, we are looking for a highly talented and motivated Data Engineer to join the R&D team.

As a Data Engineer you will develop the company’s animals Data platform. The Data platform plays a major part in the company vision; it is responsible for collecting, storing, and analyzing data from various sources and exposing it to various data consumers. You will design, develop, and optimize our data platforms and build scalable and robust data systems that handle large-scale data.

We are looking for an engineer with a real passion for Data who is willing to learn about business and build products based on analytics. The ideal candidate is a strong and independent individual with a solid background and experience in cloud and big data technologies who knows how to design and develop state-of-the-art ELT processes for data products.


What will you do?

  • Build data pipelines and sub systems that are scalable and sustainable throughout their lifecycle.
  • Build efficient, extensible data models from a variety of sources.
  • Work closely with various stakeholders and data scientists to roll out new products.


Qualifications, Skills & Experience Required

  • A minimum of 5 years of experience in data engineering, with a proven track record of delivering solutions that support the product and/or internal stakeholders.
  • A minimum of 3 years of experience in cloud-based data platforms such as Databricks or Snowflake.
  • Extensive knowledge in data platform modeling (f.e. start schema modeling).
  • BSc in industrial engineering or equivalent. 
  • Experience in designing, building, deploying, and maintaining complex end-to-end data pipelines.
  • Strong proficiency in SQL, including advanced query optimization techniques.
  • Experience with monitoring procedures and data quality tools.
  • Strong proficiency in Python programming, with experience in building data pipelines.
  • Team player with a passion for collaboration and driving growth.


Nice to have

  • Experience with Airflow, DBT, Databricks, Azure data factory.
  • Experience with cloud platforms like AWS, Azure, or GCP.


What we offer

  • Exciting work in a great team, global projects, international environment 
  • Opportunity to learn and grow professionally within the company globally 
  • Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases) 
  • Pension and health insurance contributions 
  • Internal reward system plus referral programme 
  • 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution 
  • Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card 
  • Vodafone, Raiffeisen Bank and Foodora discount programmes 
  • Up-to-date laptop and iPhone 
  • Parking in the garage, showers, refreshments, massage chairs, library, music corner 
  • Competitive salary, incentive pay, and many more 


Ready to take up the challenge? Apply now! 
Know anybody who might be interested? Refer this job!

Required Skills:

Accountability, Accountability, Amazon Web Services (AWS), Animal Care, Animal Handling, Business Intelligence (BI), Database Administration, Databricks Platform, Data Engineering, Data Management, Data Modeling, Data Quality Assurance, Data Visualization, Data Warehouse Development, Design Applications, Industrial Engineering, Information Management, Microsoft Azure Databricks, New Product Development, Python (Programming Language), Quality Assurance (QA), Software Development, Software Development Life Cycle (SDLC), Solutions Delivery, System Designs {+ 1 more}

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

02/9/2026

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Locations

  • Prague, Central Bohemian, Czechia

Salary

Estimated Salary Rangemedium confidence

78,750 - 121,000 USD / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Cloud-based data platforms (Databricks or Snowflake)advanced
  • Data platform modeling (e.g., star schema)advanced
  • SQL (advanced query optimization)advanced
  • Python programming (data pipelines)advanced
  • Data pipeline design, building, deployment, and maintenanceadvanced
  • Monitoring procedures and data quality toolsintermediate

Required Qualifications

  • Minimum 5 years in data engineering with proven track record (experience)
  • Minimum 3 years in cloud-based data platforms (Databricks or Snowflake) (experience)
  • BSc in industrial engineering or equivalent (degree)
  • Strong proficiency in SQL and Python (experience)

Responsibilities

  • Build scalable and sustainable data pipelines and subsystems throughout their lifecycle
  • Build efficient, extensible data models from a variety of sources
  • Work closely with stakeholders and data scientists to roll out new products
  • Design, develop, and optimize data platforms for large-scale data handling
  • Develop state-of-the-art ELT processes for data products
  • Collect, store, and analyze data from various sources for the animal data platform

Benefits

  • career: Join innovative R&D team working on company vision for animal data platform
  • professional: Opportunity to learn business domain and build analytics-based products
  • work environment: Collaborative team player environment driving growth and stakeholder engagement

Target Your Resume for "Senior Data Engineer" , MSD

Get personalized recommendations to optimize your resume specifically for Senior Data Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Data Engineer" , MSD

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

MSDMerckPharmaPharmaceuticalData EngineeringResearch & Development

Answer 10 quick questions to check your fit for Senior Data Engineer @ MSD.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.