Job Description
Team overview
Our organization is responsible for the global Data & Analytics transformation of our company's Manufacturing division. We collaborate internationally to deliver digital services and products that help the organization achieve its digital strategy. We are also responsible for building and evolving the larger divisional data ecosystem.
Position overview
The role of a data engineer focuses on the engineering and development work related to the creation of reusable data products, models and assets that provide data for broader divisional use in our company's Manufacturing division. Incumbent will be responsible for understanding business/data requirements, formulating appropriate solution architectures, building data structures and models supporting business goals, and generally providing technical leadership to the group. 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 big benefit, including manufacturing execution, lab management, ERP, quality, and supply chain.
Interest in mentoring and leading other colleagues is a plus.
Role description
Help building data ecosystem supporting our company's Manufacturing division
Build sets of reusable data products to support multiple digital and analytical solutions across the division
Get insight data are contributing on addressing problems in pharma business
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
Participate in building and establishing a data strategy for division from ground up
Work in an international team in an agile setup
Skills & Experience
10+ years of working experience in a relevant IT role
5+ years of working in data analytics or data modeling role
Significant working experience with data analysis and data modeling
Ability to leverage CI/CD patterns in data modelling process, knowledge of DBT is a plus
Programing languages/scripting: sql, python
Excellent communication and collaboration skills
Fluent English
Deep knowledge of SQL fur purposes of code-based model building
Knowledge of AWS stack (S3, IAM, Glue)
Knowledge of Spark is a plus
Interest in helping other engineers grow is a plus
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 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!
Know anybody who might be interested? Refer this job!
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:
Shift:
Valid Driving License:
Hazardous Material(s):
Required Skills:
Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Information Management, Information Technology (IT) Infrastructure, Network Infrastructures, Software Development
Preferred Skills:
Apache Spark, Apache Spark, Business Data Analytics, Business Information Systems, Business Intelligence Implementation, Business Management, Business Software, Business Systems, Business Technology, Business Transformation, Cloud Infrastructure, Collaboration Tools, Cultural Anthropology, Data Architecture, Data Fusion, Data Infrastructure, Data Manipulation Language, Data Science, Data Strategies, Digital Project Management, Digital Strategy, E-Commerce, Engineering Technology, Exploratory Data Analysis (EDA), Information Systems {+ 25 more}
