Senior Data Platform Engineer
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Gentofte
At STG, we always encourage you to craft the career that makes you more.
Working for one of our world-class brands means being part of a great working environment and collaborating with people from all corners of the world on a product you are proud of.
Summary:
We are expanding and looking to strengthen our Data Application team now. So, we’re looking for a great professional in data engineering to help us develop the infrastructure that provides insight from raw data. You will, among other things, architect, design, and implement individual cloud data hub components in close collaboration with your colleagues in the team. You will join a diverse team and be based in our office in Copenhagen.
What can you expect as a Sr. Data Platform Engineer?
We are incredibly excited to embark on a digital transformation journey from fragmented local BI environments to a corporate-wide cloud data hub supporting self-service. We are now accelerating our cloud-native initiative leveraging the power of the Microsoft Azure ecosystem to offer new-generation functionality and services to our clients globally.
Your primary tasks will include the following:
• Drive the implementation of a scalable platform.
• Develop and maintain cloud pipelines for data processing, management, and transitioning to a data-centric organization.
• Write and maintain secure, robust, scalable, and efficient code that turns business concepts into tangible solutions.
• Query optimization and model optimization
• Drive monitoring and insights into our environment
• Ensure the quality of the solution by implementing manual and automated unit and integration tests.
• Respond to technical issues in a professional and timely manner
• Collaborate closely with business stakeholders to understand and address their requirements
• Drive engineering best practices like Automation, CI/CD, and maintainability
• Participate in Agile ceremonies, e.g., sprint planning, backlog refinement, retrospectives, and demos
• Set and maintain high standards of quality in the team.
Your areas of knowledge and expertise (that matter the most for this role):
You are a pragmatic data engineer with solid hands-on skills within Azure data components.
More specifically, we expect you to have a successful track record in most of the following areas:
• Architecting and developing enterprise-level cloud-native data platforms in Azure
• Experience with Azure data components ecosystem, e.g., Synapse, Data Factory, Data Lake, Data Bricks
• Strong experience in T-SQL and MS SQL Server
• OLAP modeling and data warehouse design
• Solid stakeholder management skills
• Curiosity, problem-solving, and solution-oriented mindset
• Excellent proficiency in both written and verbal communication in English
Working for one of our world-class brands means being part of a great working environment and collaborating with people from all corners of the world on a product you are proud of.
Summary:
We are expanding and looking to strengthen our Data Application team now. So, we’re looking for a great professional in data engineering to help us develop the infrastructure that provides insight from raw data. You will, among other things, architect, design, and implement individual cloud data hub components in close collaboration with your colleagues in the team. You will join a diverse team and be based in our office in Copenhagen.
What can you expect as a Sr. Data Platform Engineer?
We are incredibly excited to embark on a digital transformation journey from fragmented local BI environments to a corporate-wide cloud data hub supporting self-service. We are now accelerating our cloud-native initiative leveraging the power of the Microsoft Azure ecosystem to offer new-generation functionality and services to our clients globally.
Your primary tasks will include the following:
• Drive the implementation of a scalable platform.
• Develop and maintain cloud pipelines for data processing, management, and transitioning to a data-centric organization.
• Write and maintain secure, robust, scalable, and efficient code that turns business concepts into tangible solutions.
• Query optimization and model optimization
• Drive monitoring and insights into our environment
• Ensure the quality of the solution by implementing manual and automated unit and integration tests.
• Respond to technical issues in a professional and timely manner
• Collaborate closely with business stakeholders to understand and address their requirements
• Drive engineering best practices like Automation, CI/CD, and maintainability
• Participate in Agile ceremonies, e.g., sprint planning, backlog refinement, retrospectives, and demos
• Set and maintain high standards of quality in the team.
Your areas of knowledge and expertise (that matter the most for this role):
You are a pragmatic data engineer with solid hands-on skills within Azure data components.
More specifically, we expect you to have a successful track record in most of the following areas:
• Architecting and developing enterprise-level cloud-native data platforms in Azure
• Experience with Azure data components ecosystem, e.g., Synapse, Data Factory, Data Lake, Data Bricks
• Strong experience in T-SQL and MS SQL Server
• OLAP modeling and data warehouse design
• Solid stakeholder management skills
• Curiosity, problem-solving, and solution-oriented mindset
• Excellent proficiency in both written and verbal communication in English
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i Gentofte.
Jobbet er oprettet på vores service den 27.12.2023, 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.
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Statistik over udbudte øvrige i Gentofte over tid
| Dato | Alle jobs som øvrige |
|---|---|
| 26. november 2024 | 27 |
| 25. november 2024 | 24 |
| 24. november 2024 | 24 |
| 23. november 2024 | 24 |
| 22. november 2024 | 24 |
| 21. november 2024 | 23 |
| 20. november 2024 | 22 |
| 19. november 2024 | 21 |
| 18. november 2024 | 17 |
| 17. november 2024 | 17 |
| 16. november 2024 | 19 |
| 15. november 2024 | 21 |
| 14. november 2024 | 19 |
| 13. november 2024 | 20 |
| 12. november 2024 | 21 |
| 11. november 2024 | 22 |
| 10. november 2024 | 22 |
| 9. november 2024 | 22 |
| 8. november 2024 | 20 |
| 7. november 2024 | 18 |
| 6. november 2024 | 17 |
| 5. november 2024 | 15 |
| 4. november 2024 | 19 |
| 3. november 2024 | 19 |
| 2. november 2024 | 19 |
| 1. november 2024 | 19 |
| 31. oktober 2024 | 17 |
| 30. oktober 2024 | 16 |
| 29. oktober 2024 | 16 |
| 28. oktober 2024 | 16 |
| 27. oktober 2024 | 18 |
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