Senior Data Engineer

Job Description

The Position

We are looking for a Senior Data Engineer, who is responsible for designing, building, and maintaining robust data pipelines and infrastructure that facilitate large dataset's collection, storage, and processing. They collaborate with data scientists and analysts to ensure data is accessible, reliable, and optimized for analysis. Key tasks include data integration, ETL (Extract, Transform, Load) processes, and managing databases and cloud-based systems. Data engineers are crucial in enabling data-driven decision-making and ensuring data quality across organizations. This role will primarily focus on data ingestion and developing bronze-layer data products.

What will you do?

• Design, implement, and maintain complex data engineering solutions to acquire and prepare data. Create and maintain data pipelines to connect data within and between data stores, applications, and organizations.
• Support and monitor the implementation of information, record management policies, standard practice, effective control for internal delegation, audit, and control relating to information and records management.
• Identify issues related to software development activities and propose practical solutions to resolve issues.
• Establish, modify, maintain, and communicate the details of the data structures and associated components to others using the data structures, standard data modeling, and design techniques.
• Prepare design options for the working environment of methods, procedures, techniques, tools, and people. Select systems and software life cycle (SDLC) working practices for software components and micro-services.
• Create and document detailed designs for simple data applications and components. Contribute to the design of components of larger data systems.
• Establish, modify, and maintain data structures, data pipelines, and associated components.
• Work within a matrix organizational structure, reporting to the functional and project managers.
• Participate in project planning, execution, and delivery, ensuring functional and project goals alignment.

Qualifications, Skills & Experience Required

• Bachelor's degree in information technology, Computer Science, or any Technology stream
• 7+ years of developing data pipelines & data infrastructure, ideally within a drug development or life sciences context
• Demonstrated expertise in delivering large-scale information management technology solutions encompassing data integration and self-service analytics enablement
• Experienced in software/data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools)
• Strong working knowledge of at least one large-scale data processing technology (e.g., High-performance computing, distributed computing), databases, and underlying technology (cloud or on-prem environments, containerization, distributed storage & databases)
• Cloud-native, ideally AWS certified
• Good interpersonal and communication skills (verbal and written)
• Proven record of delivering high-quality results
• Product and customer-centric approach
• Innovative thinking, experimental mindset

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, Foodora, and 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

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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):

Required Skills:

Business, Business Intelligence (BI), Client-Centric, Computer Science, Database Administration, Database Management Systems (DBMS), Data Engineering, Data Infrastructure, Data Management, Data Modeling, Data Pipelines, Data Visualization, Data Warehouse Development, Delivering Value, Design Applications, Drug Development, High Performance Computing (HPC), Information Management, Life Science, Project Management, Records Retention Management, Social Collaboration, Software Development, Software Development Life Cycle (SDLC), System Designs

Preferred Skills:

Job Posting End Date:

08/25/2025

• 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.

Requisition ID:R361479