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FLSmidth is a leading supplier of equipment and services to the global cement and minerals industries.
FLSmidth supplies everything from single machinery to complete cement plants and minerals processing facilities including services before, during and after the construction. FLSmidth has more than 135 years of experience helping customers around the world boost production, increase efficiency, and cut operating costs. As a leader in the cement and mining industries, they have taken on the responsibility of developing sustainable solutions. They have an ambition to engineer the zero emissions cement plant and the zero emissions mining process by 2030. FLSmidth needs your skills, curiosity and drive for change to fulfil that goal. Together, they enable their customers to produce the materials needed for a better future.
Your new role
As the new Senior Data Engineer, you will join FLSmidth Enterprise Architecture, Data & Analytics Department and will be responsible for developing the FLSmidth platform for new data-driven products and help define and manage the full MLOps lifecycle, enabling FLSmidth and FLSmidth customers to leverage enhanced productivity and sustainability through advanced analytics and artificial intelligence techniques. The Enterprise Architecture, Data & Analytics department is an integral part of FLSmidth Group Digital. This team is also committed to democratizing the data and creating value from data by the application of domain expertise, tools, and technology for contemporary analytics. In this role, your key responsibilities will be:
- Contribute to design and build inhouse MLOps to manage full data science life cycle
- Shorten the time required between Data Science model development and quality production deployments
- Design, build and maintain operational data stores, warehouses, lakes, or marts
- Integrate multiple data sources into a consolidated platform
- Communicate with other engineers and properly document your design and solutions
What you’ll need to succeed
As an ideal candidate for the role, you have the following:
- Bachelor, Master or Phd. degree in computer science, mathematics or similar
- Excellent track record of using language such as SQL, Python, Bash, and java script
- Hands-on software development skills using tools such as Azure DevOps etc.
- Experience with data engineering tools such as Azure Data Factory, Azure function, Logic App, Databricks (General Spark) etc.
- Exposure to Data Warehouse modeling technics such as Kimball star schemas, and Data Vault 2.0
- Working knowledge of different data storage types (e.g., SQL, NoSQL, Queue, S3 and Blob)
- Working knowledge of MLOps tools and process (MLflow, Docker, k8s, Kubeflow, MLrun, Airflow, Feature Store etc.)
- A willingness to learn is essential
What you’ll get in return
As a global company, FLSmidth offers a global network of supportive colleagues and growth opportunities across the organisation. They have built a culture of honesty, trust and transparency Work-life balance is important to FLSmidth, enabling you to focus on professional and personal priorities. They also offer the flexibility of remote work when needed. As an equal opportunity employer, FLSmidth embraces diversity and equality by promoting an environment of inclusion. They encourage applicants of all backgrounds and perspectives to apply – the more diverse their employees are, the stronger their team is.
What you need to do now
If you are interested in this role, please click on the Apply button and submit your CV and cover letter in English. In case you have any questions, you can contract Recruitment Consultant Lisa Jovy ( lisa.jovy @ hays.dk , +45 26 89 31 39)
#586740
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i København
Jobbet er oprettet på vores service den 21.2.2022, men kan have været deaktiveret og genaktiveret igen.
- Data Manager
- København
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Statistik over udbudte jobs som data managere i København
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Statistik over udbudte data managere i København over tid
Dato | Alle jobs som data managere |
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22. november 2024 | 61 |
21. november 2024 | 60 |
20. november 2024 | 59 |
19. november 2024 | 57 |
18. november 2024 | 56 |
17. november 2024 | 56 |
16. november 2024 | 55 |
15. november 2024 | 51 |
14. november 2024 | 51 |
13. november 2024 | 51 |
12. november 2024 | 48 |
11. november 2024 | 49 |
10. november 2024 | 47 |
9. november 2024 | 45 |
8. november 2024 | 40 |
7. november 2024 | 37 |
6. november 2024 | 38 |
5. november 2024 | 38 |
4. november 2024 | 39 |
3. november 2024 | 38 |
2. november 2024 | 38 |
1. november 2024 | 38 |
31. oktober 2024 | 37 |
30. oktober 2024 | 37 |
29. oktober 2024 | 40 |
28. oktober 2024 | 43 |
27. oktober 2024 | 43 |
26. oktober 2024 | 43 |
25. oktober 2024 | 42 |
24. oktober 2024 | 46 |
23. oktober 2024 | 51 |
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