Senior Data Engineer for Schneider Electric
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Kolding
Senior Data Engineer – Join Schneider Electrics Innovative Analytics Team in Kolding
Are you passionate about leveraging your expertise in data engineering and software development to drive sustainable solutions?
Do you thrive in roles that require not just theoretical knowledge but practical, hands-on application?
If so, we invite you to read more about the Senior Data Engineer position within Schneider Electrics dynamic Analytics team in Kolding.
About the Role:
In this senior role, you will be instrumental in shaping the data landscape of their leading Datacenter Infrastructure Management (DCIM) product. You'll drive the development and deployment of advanced machine learning models, ensuring they seamlessly transition from ideas on at notebooks to feature-rich enterprise environments.
This is not just a job about strong mathematics; it's about applying that knowledge to build, scale, and integrate real-world solutions that impact their industry-leading platforms.
Key Responsibilities:
Qualifications:
Schneider Electrics Work Culture:
You will be joining a team of experienced professionals (10, 5, and 3 years with Schneider) and two student workers, all rich in domain knowledge. We value balance and collaboration, offering flexible scheduling and a hybrid office-home setup. Team members typically spend 2-3 days in the office, fostering camaraderie and innovation.
About Schneider Electric:
Schneider Electric is leading the digital transformation of energy management and automation. Our technologies enable the world to use energy in a safe, efficient, and sustainable manner. We strive to promote a global economy that is both ecologically viable and highly productive
Are you passionate about leveraging your expertise in data engineering and software development to drive sustainable solutions?
Do you thrive in roles that require not just theoretical knowledge but practical, hands-on application?
If so, we invite you to read more about the Senior Data Engineer position within Schneider Electrics dynamic Analytics team in Kolding.
About the Role:
In this senior role, you will be instrumental in shaping the data landscape of their leading Datacenter Infrastructure Management (DCIM) product. You'll drive the development and deployment of advanced machine learning models, ensuring they seamlessly transition from ideas on at notebooks to feature-rich enterprise environments.
This is not just a job about strong mathematics; it's about applying that knowledge to build, scale, and integrate real-world solutions that impact their industry-leading platforms.
Key Responsibilities:
- Architect and develop scalable machine learning models and data pipelines, transitioning from insights to enterprise-grade productisation
- Ensure robust integration of ML models within their cloud-based platforms, focusing on real-time data processing and low-latency solutions
- Collaborate closely with their Java engineers, contributing to a cohesive and innovative product development environment
- Drive the automation of data processes, emphasizing efficiency and scalability in an enterprise setting
- Mentor and guide a diverse team, sharing your expertise to foster a culture of technical excellence and innovation
Qualifications:
- 3-5 years of experience in data engineering, with a significant focus on machine learning and enterprise-level deployment
- Proficiency in Python and a solid understanding of the Java ecosystem
- Hands-on experience with big data technologies, particularly Databricks
- Proven track record in model development, deployment, and scaling in complex IoT systems, handling millions of data points daily
- Practical experience in transitioning from theoretical model development to real-time, enterprise-level applications
- Strong understanding of data structures, warehousing, and the ability to deliver insights directly into product development
Schneider Electrics Work Culture:
You will be joining a team of experienced professionals (10, 5, and 3 years with Schneider) and two student workers, all rich in domain knowledge. We value balance and collaboration, offering flexible scheduling and a hybrid office-home setup. Team members typically spend 2-3 days in the office, fostering camaraderie and innovation.
About Schneider Electric:
Schneider Electric is leading the digital transformation of energy management and automation. Our technologies enable the world to use energy in a safe, efficient, and sustainable manner. We strive to promote a global economy that is both ecologically viable and highly productive
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Kolding.
Jobbet er oprettet på vores service den 14.3.2024, 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
- Kolding
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Statistik over udbudte jobs som data managere i Kolding
Herunder ser du udviklingen i udbudte data manager i Kolding over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal data managere.
Se flere statistikker her:
Statistik over udbudte data managere i Kolding over tid
| Dato | Alle jobs som data managere |
|---|---|
| 22. november 2024 | 1 |
| 21. november 2024 | 1 |
| 20. november 2024 | 1 |
| 19. november 2024 | 1 |
| 18. november 2024 | 1 |
| 17. november 2024 | 1 |
| 16. november 2024 | 1 |
| 15. november 2024 | 1 |
| 14. november 2024 | 1 |
| 13. november 2024 | 1 |
| 12. november 2024 | 1 |
| 11. november 2024 | 1 |
| 10. november 2024 | 1 |
| 9. november 2024 | 1 |
| 8. november 2024 | 1 |
| 7. november 2024 | 1 |
| 6. november 2024 | 1 |
| 5. november 2024 | 1 |
| 4. november 2024 | 1 |
| 3. november 2024 | 1 |
| 2. november 2024 | 1 |
| 1. november 2024 | 1 |
| 31. oktober 2024 | 1 |
| 30. oktober 2024 | 1 |
| 29. oktober 2024 | 1 |
| 28. oktober 2024 | 1 |
| 27. oktober 2024 | 1 |
| 26. oktober 2024 | 1 |
| 25. oktober 2024 | 1 |
| 24. oktober 2024 | 1 |
| 23. oktober 2024 | 2 |