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In DFDS's Revenue Management Department we are looking for a Data Engineer who can help us build robust data pipelines and API integrations around our pricing tool.
In the Revenue Management Department we are continuously working with projects which fuse pricing experience and ‘know how’ with data science to help our passenger and freight business become even more profitable.
We are looking for a talented individual to join us in our future journey and can help transform our ideas and ambition into real life working solutions.
Main responsibilities
You will:
Additional tasks will include:
Preferred professional candidate profile
Nice to have (but not critical) skills:
Preferred personal candidate profile
You will be in frequent contact with people with broad experience. Some of them will be more focused on business, some on technical aspects. Your internal customers have a high data literacy.
It is desirable that:
Are we a match? APPLY NOW!
If you find the job interesting and you fulfill the expectations, please submit your CV and application in English. We will evaluate applications on an ongoing basis.
If you are left with any questions, please contact Tomáš Pokorný at [email protected].
In the Revenue Management Department we are continuously working with projects which fuse pricing experience and ‘know how’ with data science to help our passenger and freight business become even more profitable.
We are looking for a talented individual to join us in our future journey and can help transform our ideas and ambition into real life working solutions.
Main responsibilities
You will:
- build data heavy engine that generates price suggestions and helps to steer ships’ capacities.
- build API integrations between pricing tools and a booking system.
- help data scientists to deploy their machine learning models into production.
Additional tasks will include:
- help migrate existing on-prem solutions to cloud.
- build data products together with data engineers from IT.
- support revenue managers in their data needs
Preferred professional candidate profile
- You can write python code that transforms data (e.g. in Pandas, Numpy) and communicates with APIs.
- You can perform large set operations in SQL.
- DevOps experience.
Nice to have (but not critical) skills:
- development in cloud (preferably AWS + Kubernetes cluster)
- CI/CD automation in Azure Pipelines or equivalent
- development and deployment of machine learning microservices.
- other programming languages (C#.NET, R, Linux Bash)
- GUI automation
- writing tests
- web scraping
- data visualizations (Python Plotly (Dash), R Shiny, Tableau...)
Preferred personal candidate profile
You will be in frequent contact with people with broad experience. Some of them will be more focused on business, some on technical aspects. Your internal customers have a high data literacy.
It is desirable that:
- You can gather requirements from end users.
- You can explain technical problems to non-technical people.
- You can produce nicely structured code.
Are we a match? APPLY NOW!
If you find the job interesting and you fulfill the expectations, please submit your CV and application in English. We will evaluate applications on an ongoing basis.
If you are left with any questions, please contact Tomáš Pokorný at [email protected].
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i København Ø.
Jobbet er oprettet på vores service den 26.12.2021, 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.
- Øvrige
- København Ø
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Statistik over udbudte jobs som øvrige i København Ø
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Se flere statistikker her:
Statistik over udbudte øvrige i København Ø over tid
| Dato | Alle jobs som øvrige |
|---|---|
| 18. september 2024 | 36 |
| 17. september 2024 | 39 |
| 16. september 2024 | 40 |
| 15. september 2024 | 47 |
| 14. september 2024 | 47 |
| 13. september 2024 | 48 |
| 12. september 2024 | 50 |
| 11. september 2024 | 51 |
| 10. september 2024 | 52 |
| 9. september 2024 | 47 |
| 8. september 2024 | 50 |
| 7. september 2024 | 51 |
| 6. september 2024 | 52 |
| 5. september 2024 | 48 |
| 4. september 2024 | 52 |
| 3. september 2024 | 52 |
| 2. september 2024 | 51 |
| 1. september 2024 | 54 |
| 31. august 2024 | 55 |
| 30. august 2024 | 56 |
| 29. august 2024 | 56 |
| 28. august 2024 | 55 |
| 27. august 2024 | 53 |
| 26. august 2024 | 55 |
| 25. august 2024 | 53 |
| 24. august 2024 | 55 |
| 23. august 2024 | 53 |
| 22. august 2024 | 50 |
| 21. august 2024 | 48 |
| 20. august 2024 | 45 |
| 19. august 2024 | 43 |