IT Data Engineer
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Virum
Are you ready to apply your data engineering skills to help us accelerate the digital transformation within pharmaceutical manufacturing? If you are passionate about designing and implementing modern cloud based data pipelines, that coNNEcts to IIoT sensors and production equipment, to lay the foundation for data driven decision making – then it is precisely you and your competencies we seek at NNE.
We are looking for a curious and engaged colleague, who can bring her/his competencies into play and contribute to bringing best-in-class solutions to the pharmaceutical industry. You will become part of our department and help strengthen the team in Copenhagen within manufacturing intelligence.
Primary Duties and Responsibilities: Manufacturing Intelligence is a full-service provider of Intelligence solutions within manufacturing for the pharma and biotech industries. We work with consultancy, design, implementation, test/validation, and data analytics.
Your primary tasks in Manufacturing Intelligence will be to:
Every day you will work in an ever-changing, project-driven environment side by side with some of the most skilled and passionate experts in the world… Your colleagues. You will become a part of an active and challenging environment in Manufacturing Intelligence with more than 26 dedicated colleagues.
Required Qualifications: Who you are:
The miles you have walked:
In addition to the above, it is an advantage – but not a requirement – if you have experience within the following areas:
What do your colleagues say?
Your future colleagues express the following about NNE and the overall purpose they contribute to:
“Working at NNE gives me the chance to work with anything from Cloud Technologies to data acquisition from PLCs. Every project and every customer are different so there is never a dull moment. If you ever encounter a problem you cannot solve, you can always find a colleague that will drop everything and help you succeed."
If you have any questions about the job, please contact Manager Per Lund Bovbjerg, +45 30 75 62 11.
Deadline of application is 13 June 2021
We will invite to interviews on a running basis.
We are looking for a curious and engaged colleague, who can bring her/his competencies into play and contribute to bringing best-in-class solutions to the pharmaceutical industry. You will become part of our department and help strengthen the team in Copenhagen within manufacturing intelligence.
Primary Duties and Responsibilities: Manufacturing Intelligence is a full-service provider of Intelligence solutions within manufacturing for the pharma and biotech industries. We work with consultancy, design, implementation, test/validation, and data analytics.
Your primary tasks in Manufacturing Intelligence will be to:
- design, develop and implement cloud solutions in manufacturing environments
- visualize manufacturing data
- ensure commissioning, testing, and qualification of these systems
- ensure planning, estimation, and coordination of tasks
- assist customers in evolving their ideas into value adding solutions
- become an active part of the project teams and participate on equal terms as your colleagues.
Every day you will work in an ever-changing, project-driven environment side by side with some of the most skilled and passionate experts in the world… Your colleagues. You will become a part of an active and challenging environment in Manufacturing Intelligence with more than 26 dedicated colleagues.
Required Qualifications: Who you are:
- You love innovation and adapt well to change
- You like to work in project teams closely together with our customers
- You are proficient in both spoken and written English
- You are proficient in or willing to learn Danish
- You are result-oriented and have a well-structured work approach
- You have a personal drive and are passionate about your work
- You work effectively and keep your promises
The miles you have walked:
- We imagine that you have a degree within Engineering, Computer Science, Physics, Chemistry or similar.
- Preferably 1+ years’ experience within
- Manufacturing Industry
- Working in the Cloud (AWS, Azure)
- Building Data pipelines
- Data wrangling - aggregation, contextualization and visualization
- Database technologies (SQL, Graph or NoSQL)
- Consultancy and projects
In addition to the above, it is an advantage – but not a requirement – if you have experience within the following areas:
- Manufacturing timeseries data, big data platform technologies and data modelling
- Manufacturing data source systems (SCADA, MES, PLC, IIoT devices and sensors etc.)
- The Pharmaceutical industry regulations (GMP, GAMP, …)
- Building statistical, mathematical and predictive models with appropriate tools and implementation of machine learning algorithms to find the right answers to complex business questions
- Mentoring junior colleagues
What do your colleagues say?
Your future colleagues express the following about NNE and the overall purpose they contribute to:
“Working at NNE gives me the chance to work with anything from Cloud Technologies to data acquisition from PLCs. Every project and every customer are different so there is never a dull moment. If you ever encounter a problem you cannot solve, you can always find a colleague that will drop everything and help you succeed."
If you have any questions about the job, please contact Manager Per Lund Bovbjerg, +45 30 75 62 11.
Deadline of application is 13 June 2021
We will invite to interviews on a running basis.
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Virum.
Jobbet er oprettet på vores service den 22.5.2021, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Data Manager
- Virum
- Søndag den 13. juni 2021
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Statistik over udbudte jobs som data managere i Virum
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Statistik over udbudte data managere i Virum over tid
| Dato | Alle jobs som data managere |
|---|---|
| 2. december 2024 | 1 |
| 1. december 2024 | 1 |
| 30. november 2024 | 1 |
| 29. november 2024 | 1 |
| 28. november 2024 | 1 |
| 27. november 2024 | 1 |
| 26. november 2024 | 1 |
| 25. november 2024 | 1 |