Senior Data Engineer
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Ballerup
R&D Data & Analytics, LEO Pharma, Ballerup, Denmark
Do you have experience with the newest and upcoming technologies, platforms and trends that can be exploited to create new business models or radically change current processes? Are you also looking for new challenges and are motivated by?
Working in cross-functional teams. Modernizing current drug development processes by focusing on more data-driven approaches. Seeking out entirely new opportunities for business in dermatology using platform technologies which are data-driven at its core. Having an entrepreneurial approach to achieve your goals and take a frugal approach to develop proof of concepts that prime projects for further investment of resources. Playing a key role in a dynamic team.
Then you are the Senior Data Engineer we are looking for!
We can offer you a job with lots of responsibilities, impact and more of it all, if you have the talent and are ambitious.
Who are we?
You will join a company that has embarked on a very ambitious journey to become the world´s preferred dermatology care partner. With our ambitious aspiration to help more than 100 million people by 2020, LEO Pharma is looking at new and innovative solutions – and that is why we need you.
Challenges ahead!
At LEO Pharma we have recently formed a new unit in Global Research & Development to bring data-driven processes into our critical business paths, building data systems and applications to support decision making in our current industrial processes and drive new business opportunities. We serve a two-fold purpose: modernizing current drug development processes by focusing on more data-driven approaches and seeking out entirely new opportunities for business in dermatology using platform technologies which are data-driven at its core.
You will work in a cross-functional team built from subject matter experts and technical experts. The team will be responsible for building and delivering use cases to support a data driven R&D. As part of the new unit you and the team around you are responsible for building smart and sustainable data products in close collaboration with the end users. Interaction with other departments is very strong, using both shared projects and actual job rotations to foster cooperation and people development.
You will become part of a team with a pleasant and flexible work environment, a team that have full speed ahead whilst staying open minded and social.
Who are you?
You are an end-to-end problem solver who prefers to use the right tool for the job in close collaboration with your peers. You have experience supporting and handling data and users within an open source toolkit from the OS upwards, dealing with multiple data sources, and supplying end users with systems and applications running in production.
You are familiar with several different databases and know your way around exporting data out of legacy source systems. On a daily basis you will be working focused and agile on a project-by-project basis.
Preferred qualifications and experience:
Proven track record of working with distributed production IT systems supporting data pipelines and processing. Proficient on the Linux command line as well as with cloud service providers. Working experience in the Open Source space, supporting in-house use of Open Source components and frameworks. Linux networking and security expertise. Be comfortable developing in one of the following languages: Python, Scala, C++, Java. Experience with continuous integration/continuous deployment environments. Experience with deployment of machine learning models.
The requirements listed above are considered as necessary in order to be successful in this position. The following qualifications/experience would be a plus:
Experience with working agile as a developer. Exposure to configuration management tools (Ansible, Chef, Puppet). Management of multiple Linux flavors (ubuntu, centos, FreeBSD, Red Hat) Data pipeline management tools (Storm, NiFi, Kafka Streams, Kinetics, Spark Pipelines, Airflow, Glue). General DevOps capabilities (CI/CD, docker, deployment pipelines). Experience with Infrastructure as a Code and large-scale application deployment and management. Creating solution architectures for availability, performance and cost. Experience with or interest in IoT/sensor-to-cloud. Experience with configuration management systems (one of Ansible, Chef, Puppet, or similar) and container technologies (e.g. Kubernetes, Mesosphere, Docker Swarm).
Do you have experience with the newest and upcoming technologies, platforms and trends that can be exploited to create new business models or radically change current processes? Are you also looking for new challenges and are motivated by?
Then you are the Senior Data Engineer we are looking for!
We can offer you a job with lots of responsibilities, impact and more of it all, if you have the talent and are ambitious.
Who are we?
You will join a company that has embarked on a very ambitious journey to become the world´s preferred dermatology care partner. With our ambitious aspiration to help more than 100 million people by 2020, LEO Pharma is looking at new and innovative solutions – and that is why we need you.
Challenges ahead!
At LEO Pharma we have recently formed a new unit in Global Research & Development to bring data-driven processes into our critical business paths, building data systems and applications to support decision making in our current industrial processes and drive new business opportunities. We serve a two-fold purpose: modernizing current drug development processes by focusing on more data-driven approaches and seeking out entirely new opportunities for business in dermatology using platform technologies which are data-driven at its core.
You will work in a cross-functional team built from subject matter experts and technical experts. The team will be responsible for building and delivering use cases to support a data driven R&D. As part of the new unit you and the team around you are responsible for building smart and sustainable data products in close collaboration with the end users. Interaction with other departments is very strong, using both shared projects and actual job rotations to foster cooperation and people development.
You will become part of a team with a pleasant and flexible work environment, a team that have full speed ahead whilst staying open minded and social.
Who are you?
You are an end-to-end problem solver who prefers to use the right tool for the job in close collaboration with your peers. You have experience supporting and handling data and users within an open source toolkit from the OS upwards, dealing with multiple data sources, and supplying end users with systems and applications running in production.
You are familiar with several different databases and know your way around exporting data out of legacy source systems. On a daily basis you will be working focused and agile on a project-by-project basis.
Preferred qualifications and experience:
The requirements listed above are considered as necessary in order to be successful in this position. The following qualifications/experience would be a plus:
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Ballerup.
Jobbet er oprettet på vores service den 1.10.2019, 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
- Ballerup
- Fredag den 18. oktober 2019
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Statistik over udbudte data managere i Ballerup over tid
| Dato | Alle jobs som data managere |
|---|---|
| 27. december 2024 | 1 |
| 26. december 2024 | 1 |
| 25. december 2024 | 1 |
| 24. december 2024 | 1 |
| 23. december 2024 | 1 |
| 22. december 2024 | 1 |
| 21. december 2024 | 1 |
| 20. december 2024 | 1 |
| 19. december 2024 | 1 |
| 18. december 2024 | 1 |
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| 7. december 2024 | 4 |
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| 4. december 2024 | 2 |
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| 2. december 2024 | 2 |
| 1. december 2024 | 2 |
| 30. november 2024 | 3 |
| 29. november 2024 | 3 |
| 28. november 2024 | 3 |
| 27. november 2024 | 3 |