Data Engineer

Posted 4 Days Ago
Be an Early Applicant
Prag - Cestlice, Okres Praha-vychod, Central Bohemia, CZE
In-Office
Mid level
Artificial Intelligence • Pet • Software
The Role
Design, build, and maintain scalable data pipelines, services, and backend components; integrate AI/LLM features (chatbots, RAG, copilots) using OpenAI/Anthropic/LangChain; implement APIs, cloud deployments (AWS/Azure), CI/CD, monitoring, and support; collaborate with architects and cross-functional teams in Agile to translate business requirements into enterprise data and AI solutions.
Summary Generated by Built In

Job Description

At our company, we aspire to be the premier research-intensive biopharmaceutical company. We're at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. Join us in using the power of leading-edge science to save and improve lives around the world.

Responsibilities
  • Design, build, and maintain data pipelines, ingestion workflows, and transformation processes that support scalable enterprise data solutions
  • Develop and support data services, APIs, and backend components to enable reliable data access and integration across enterprise systems
  • Work with structured and unstructured data and ensure smooth integration between data platforms, backend services, and user-facing applications where needed
  • Write clean, efficient, and well-documented data processing and application code following engineering best practices
  • Participate in code reviews, debugging, performance tuning, and refactoring across data engineering and supporting software components
  • Design and implement AI-powered features and intelligent workflows within applications
  • Contribute to the development and integration of AI agents, chatbots, copilots, and automation flows
  • Apply prompt engineering techniques and support LLM-based solutions
  • Work with AI libraries and frameworks such as OpenAI APIs, Anthropic SDK, LangChain, or similar tools
  • Collaborate on use cases involving retrieval-augmented generation (RAG), search, and structured/unstructured data integration
  • Integrate applications with internal and external APIs, enterprise platforms, and data engineering ecosystems to support scalable enterprise solutions
  • Implement data ingestion, transformation, retrieval, and search workflows that enable reliable reporting, analytics, and AI-driven use cases
  • Ensure reliable integration between back-end services, and AI services
  • Deploy and support applications in cloud environments such as AWS or Azure
  • Contribute to CI/CD pipelines, automation, and release processes
  • Assist with monitoring, troubleshooting, and operational support in lower and production environments
  • Work closely with architects, Tech Leads, product owners, and cross-functional teams
  • Participate actively in Agile ceremonies including sprint planning, stand-ups, retrospectives, and demos
  • Translate business requirements into scalable data and AI solutions for enterprise use cases
Qualifications

Required

  • 3+ years of experience in software development or data engineering, with strong exposure to building enterprise-grade data and application solutions
  • Proficiency in one or more programming languages such as Python, Java, JavaScript/TypeScript
  • Strong understanding of back-end development, including API design and integration
  • Experience building scalable, maintainable, and well-documented code
  • Hands-on experience with testing, debugging, and code reviews
  • Hands-on experience implementing AI or LLM-based solutions in enterprise settings, including prompt engineering and practical business use cases
  • Familiarity with AI tools and frameworks such as OpenAI APIs, LangChain, or similar
  • Understanding of AI-powered use cases such as chatbots, copilots, automation flows, or retrieval/search workflows
  • Working knowledge of cloud platforms such as AWS
  • Experience with Git, version control, and CI/CD concepts
  • Experience in SQL, data modeling, data pipelines, and data processing concepts across enterprise environments
  • Experience integrating with APIs, enterprise platforms, data sources, and AI services to deliver scalable business solutions
  • Strong collaboration and communication skills, with the ability to work effectively in Agile teams

Preferred

  • Experience with additional cloud platforms such as Azure
  • Advanced knowledge of data engineering tools and frameworks
  • Experience with big data technologies and distributed computing

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
  • Competitive salary & incentive pay
  • Pension and health insurance contributions
  • Internal reward system and referral scheme
  • 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, sport, culture, health, travel, etc.), Multisport Card
  • Vodafone, Raiffeisen Bank, Foodora, and discount programmes
  • Up-to-date laptop and iPhone
  • Parking in the garage, showers, refreshments, massage chairs, library, music corner

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

Required Skills:

AI Architecture, Back-End Development, Cloud DevOps, Collaborative Communications, Data Engineering, Data Integration, Data Pipelines, Data Services, Data Visualization, Debugging, Design Applications, Programming Languages, Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, Sprint Planning, System Designs, System Integration, Testing, TypeScript, Version Control

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:

No relocation

VISA Sponsorship:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

07/4/2026

*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.

Skills Required

  • 3+ years of experience in software development or data engineering
  • Proficiency in one or more programming languages such as Python, Java, JavaScript/TypeScript
  • Strong understanding of back-end development, including API design and integration
  • Experience building scalable, maintainable, and well-documented code
  • Hands-on experience with testing, debugging, and code reviews
  • Hands-on experience implementing AI or LLM-based solutions in enterprise settings, including prompt engineering
  • Familiarity with AI tools and frameworks such as OpenAI APIs, LangChain, or similar
  • Understanding of AI-powered use cases such as chatbots, copilots, automation flows, or retrieval/search workflows
  • Working knowledge of cloud platforms such as AWS
  • Experience with Git, version control, and CI/CD concepts
  • Experience in SQL, data modeling, data pipelines, and data processing concepts
  • Experience integrating with APIs, enterprise platforms, data sources, and AI services to deliver scalable solutions
  • Strong collaboration and communication skills; ability to work effectively in Agile teams
  • Experience with additional cloud platforms such as Azure
  • Advanced knowledge of data engineering tools and frameworks
  • Experience with big data technologies and distributed computing
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The Company
HQ: Netanya
349 Employees
Year Founded: 1948

What We Do

MSD Animal Health Technology Labs specializes in the development of animal health management solutions. We are a multidisciplinary product company, a diverse team of ~450 closely collaborating scientists, AI experts, software, hardware, and mechanical engineers… working alongside veterinarians and other animal experts. Our passion? Shaping the future of animal health and well-being (for much better!). Our products and platforms identify trends and predict the likelihood of health outcomes for HUNDREDS of MILLIONS of animals each year, from pets, to poultry, farm animals, and even fish. We provide actionable insights for veterinarians, farmers, and producers, changing the way people care for animals in 150 markets. So, if you’re looking to work in a company that combines pioneering science and technology, dedicated colleagues, and animals, you’ll find it all here – come join us! Visit our website: https://www.msd-animal-health.com/animal-health-intelligence/technology-labs/

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