Senior Data Engineer

CZE - Central Bohemian - Prague (Five)

MSD

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Job Description

Our organization is responsible for the global Data & Analytics transformation of our manufacturing division. We collaborate internationally to deliver digital services and products that help the organization to achieve its digital strategy. We are also responsible for build and evolve the larger divisional data ecosystem.

The role of a senior data engineer focuses on the engineering and development work related to the building of analytical platform for broader divisional use in our manufacturing division. Significant part of the role is increasing the adoption of built solution across different user bases (scaling from technical savvy IT personnel up to onboarding of people from outside of IT area). Incumbent must understand business/data requirements, formulate appropriate technical solutions, design and build integrations of tools forming analytical ecosystem to support business goals. This role is responsible for driving technical workstreams with other stake holders within manufacturing division and outside of it – especially in the context of working with Enterprise IT-enabling teams (CTO). The incumbent must demonstrate fluency with cloud technologies, such as AWS, and big data environments. Collaboration and the ability to communicate solutions to a non-technical audience is key. Relevant knowledge of manufacturing processes and systems is benefit, including manufacturing execution, lab management, ERP, quality, and supply chain.

 

Responsibilities

  • Help building data ecosystem supporting our manufacturing division

  • Maintain and expand analytical ecosystem and its integrations across the division

  • Understand and improve data governance processes to enable more smooth data usage across division

  • Be a technical SME for other manufacturing and CTO product teams

  • Provide technical guidance and functional leadership to other data engineers in the team

  • Be responsible for best practices and technical know-how of the team 

  • Work with suit of AWS cloud services and other modern cloud technologies and capabilities and participate in the continuous push for new patters and technology

  • Solve complex technical & business problems

  • Get understanding of the manufacturing domain of a pharma company

  • Interact with the various source system SMEs and participate in building the data availability strategy of the manufacturing division

  • Work in an international team in an agile setup

Qualifications

  • 5+ years of working in data analytics or data integration/engineering role.

  • Working experience with designing integration between data analytical tools and optimizing ways how to work with data.

  • Working experience with data transformations.

  • Ability to leverage CI/CD patterns in data modelling process.

  • Programing languages/scripting: SQL, Python

  • Excellent communication and collaboration skills

  • Fluent English

  • Deep knowledge of SQL

  • Knowledge of AWS stack (S3, IAM, Glue)

  • Interest in helping other engineers grow

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

  • 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 Mall.cz 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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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 Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs


Preferred Skills:

Job Posting End Date:

11/21/2024

*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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile AWS Big Data Business Intelligence CI/CD Data Analytics Data governance Data management Data visualization Engineering Pharma Python SDLC SQL

Perks/benefits: Career development Competitive pay Flex hours Gear Health care Parental leave Relocation support Team events

Region: Europe
Country: Czechia

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