Senior Data Engineer, R&D Data Science & AI Engineering
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LEO Pharma is on a journey towards next-generation innovation. One vehicle for change is machine learning and artificial intelligence powered insights, based on data. This is where we need the help of a Data Engineer.
Unlocking data silos, establishing seamless data flows, and providing reusable and curated data points are the main tasks of our future colleague. The ideal profile brings experience with ETL processes. Persistence of different data formats into different storage engines and ability to differentiate between low-latency and high throughput requirements, are examples of competences we look for in a candidate.
So – 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 you motivated by:
Then you could be the Senior Data Engineer we are looking for!
About you
To excel at this position, you need to be able to own your missions from conception to maintenance. 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, dealing with multiple data sources, and supplying end users with systems and applications running in production. You are familiar with different databases, and you know your way around exporting data out of legacy source systems.
On a personal level your positivity, curiosity and “can-do” attitude contributes to our team spirit by aiming to make everyone around him/her better though a positive mindset. You take ownership and treasure working focused and agile on a project-by-project basis.
Qualifications and Experience required to be successful in the role:
Any of the following qualifications/experience would be a plus:
About us
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.
Our R&D Data Science and AI Engineering team is a cross-functional team comprising of subject matter experts and technical experts, and together we build and deliver use cases to support a data driven R&D. We are a team of professionals with full speed ahead whilst staying open minded and social, and enjoying a pleasant and flexible work environment. We 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.
We can offer you a job with lots of responsibilities, impact and more of it all, if you have the talent and are ambitious.
Do you want to know more?
For further information, please contact Alex Schuleit, Senior Manager, R&D Data Science & AI Engineering - at +45 3148 2519.
Applications will be evaluated, and candidates interviewed, on an ongoing basis so please do not hesitate in making your application. Deadline no later than September 30th 2021.
LEO Pharma has embarked on a growth journey to become the preferred dermatology care partner in the world. Global Research and Development (GRD) is on the forefront of this journey. GRD is a global team, spread across the world consisting of approximately 1000 permanent employees. We drive the execution of all of LEO Pharma’s drug discovery, design and development together with stakeholders and partners across LEO Pharma as well as external partners around the world.
Unlocking data silos, establishing seamless data flows, and providing reusable and curated data points are the main tasks of our future colleague. The ideal profile brings experience with ETL processes. Persistence of different data formats into different storage engines and ability to differentiate between low-latency and high throughput requirements, are examples of competences we look for in a candidate.
So – 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 you motivated by:
- ·Working in tandem with fellow software engineers to identify and implement the most optimal cloud-based solutions
- Crafting operational data processing pipelines
- Ensuring application health and KPIs of deliveries visibility at all time
- Maintaining high standards of code quality based on thoughtful design
- Communicating verbally and orally in a timely manner findings and practices
- Participating in all aspects of the software development life cycle with accordance to the Agile methodology
Then you could be the Senior Data Engineer we are looking for!
About you
To excel at this position, you need to be able to own your missions from conception to maintenance. 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, dealing with multiple data sources, and supplying end users with systems and applications running in production. You are familiar with different databases, and you know your way around exporting data out of legacy source systems.
On a personal level your positivity, curiosity and “can-do” attitude contributes to our team spirit by aiming to make everyone around him/her better though a positive mindset. You take ownership and treasure working focused and agile on a project-by-project basis.
Qualifications and Experience required to be successful in the role:
- Experience with a cloud vendor (AWS, Azure, GCP)
- Experience with batch and/or streaming workloads
- Experience with data processing pipelines
- Experience interfacing with a distributed system (Kafka, Cassandra)
- Good understanding of storage engines and formats
- Experience with Spark API
- Solid software engineering practices
- Proficiency in Linux administration
Any of the following qualifications/experience would be a plus:
- Experience with Azure Data Factory, Data Lake
- Experience with Databricks and KNIME
- Solid understanding of Spark, Delta
- Proficiency in Scala
- Interest in contributing to cloud/data science/backend part of the software products
About us
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.
Our R&D Data Science and AI Engineering team is a cross-functional team comprising of subject matter experts and technical experts, and together we build and deliver use cases to support a data driven R&D. We are a team of professionals with full speed ahead whilst staying open minded and social, and enjoying a pleasant and flexible work environment. We 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.
We can offer you a job with lots of responsibilities, impact and more of it all, if you have the talent and are ambitious.
Do you want to know more?
For further information, please contact Alex Schuleit, Senior Manager, R&D Data Science & AI Engineering - at +45 3148 2519.
Applications will be evaluated, and candidates interviewed, on an ongoing basis so please do not hesitate in making your application. Deadline no later than September 30th 2021.
LEO Pharma has embarked on a growth journey to become the preferred dermatology care partner in the world. Global Research and Development (GRD) is on the forefront of this journey. GRD is a global team, spread across the world consisting of approximately 1000 permanent employees. We drive the execution of all of LEO Pharma’s drug discovery, design and development together with stakeholders and partners across LEO Pharma as well as external partners around the world.
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Storkøbenhavn
Jobbet er oprettet på vores service den 3.9.2021, 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
- Storkøbenhavn
- Torsdag den 30. september 2021
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Statistik over udbudte jobs som data managere i Storkøbenhavn
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Statistik over udbudte data managere i Storkøbenhavn over tid
| Dato | Alle jobs som data managere |
|---|---|
| 2. juli 2024 | 67 |
| 1. juli 2024 | 59 |
| 30. juni 2024 | 63 |
| 29. juni 2024 | 64 |
| 28. juni 2024 | 67 |
| 27. juni 2024 | 69 |
| 26. juni 2024 | 69 |
| 25. juni 2024 | 65 |
| 24. juni 2024 | 71 |
| 23. juni 2024 | 72 |
| 22. juni 2024 | 73 |
| 21. juni 2024 | 76 |
| 20. juni 2024 | 73 |
| 19. juni 2024 | 74 |
| 18. juni 2024 | 72 |
| 17. juni 2024 | 77 |
| 16. juni 2024 | 75 |
| 15. juni 2024 | 75 |
| 14. juni 2024 | 76 |
| 13. juni 2024 | 74 |
| 12. juni 2024 | 77 |
| 11. juni 2024 | 77 |
| 10. juni 2024 | 80 |
| 9. juni 2024 | 82 |
| 8. juni 2024 | 81 |
| 7. juni 2024 | 84 |
| 6. juni 2024 | 84 |
| 5. juni 2024 | 84 |
| 4. juni 2024 | 85 |
| 3. juni 2024 | 85 |
| 2. juni 2024 | 86 |