Data Engineer, Advanced Analytics
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For our growing Data Platform team within Consumer Technology, we are looking for a new Data Engineer of Advanced Analytics. You will be responsible for expanding and optimising our data and data pipeline architecture, as well as optimising data flow and collection for cross-functional teams. This will include assembling large, complex data sets that meet functional/non-functional business requirements.
As our Data Engineer, you will identify, design and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, amongst other tasks. You will also build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using a wide array of available technologies. In addition, you will create data tools for analytics and data scientist team members that assist them in building and optimising our data products.
Further to the above, you will:
- Build analytical tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Support our Data Architects, fellow Data Engineers and Data Scientists on new project initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects
- Work with stakeholders and teams to assist with data-related technical issues and support their data infrastructure needs
- Work with data and analytics experts to strive for greater functionality in our data systems
Your new team
Pandora is a company with a big heart that takes great pride in treating our people well. You will be part of an exciting business area and work in an international hub of can-do spirited, passionate and performance-driven people. Consumer Technology has just started a transformation where we over the next 12-24 months will implement new ways of working to support the execution of Business Strategy, enable operational excellence and build a data-driven organisation.
Our Data Platform team is the epicentre of Pandora’s ambitious plans to become a world leading retailer in Advanced Analytics. We are investing significantly into these ambitions and we leverage a strong position as a fully vertically integrated producer and reseller with internal data sets spanning from Supply to Demand. You will report to the Senior Manager of Engineering & QA. Structured, analytical and an excellent communicator
You might be the person we are looking for if you are a data genius, whether managing, integrating or organising it. You are very structured and easily learn new technology. Furthermore, you are analytical and thrive with finding solutions to technical problems. Aside from being a technical genius, you are confident in communicating with all levels of an organisation and enjoy working with diverse project teams.
We imagine that you have a university degree within Computer Science, Information Technology or Engineering. You understand data tools and management, data integration and database development techniques, and have previous experience with relating architectural decision and recommendations to business needs.
Further to this, you have:
- Minimum 3 years of experience coding in Python/Scala
- Worked with Databricks / Delta Lake
- Experience using Azure Data Factory
- Azure DevOps experience
- Experience working within Scrum
- Worked with Airflow
- Worked with BI and reporting
- Worked with UML (use case and class models)
- Strong experience with database technologies (e.g. SQL, NoSQL, Oracle, Hadoop, Teradata)
- Experience developing reference architecture, principles and standards
Did we get your attention?
We hope you got all your questions answered and feel confident applying for this position, however if you have more questions regarding the position, please contact:
Michael Thushyan
Recruiter, Global Office HR
[email protected]
If you see yourself in the position and would like to become a part of Pandora’s future . We look forward to hearing from you!
We process applications on a continuous basis, which is why we encourage you to send your application as soon as possible. You can also read more about Pandora on our corporate site www.pandoragroup.com.
Icing on the cake
You will be working out of our beautiful Head Office in Copenhagen V, established in 2016 and designed to unite and inspire our teams. Besides our beautiful interior design we are also proud of our LEED Gold Certification for Energy and Environmental Design. This means that we use as few natural resources as possible and that we use them with respect. The result is a professional and dynamic space that is unique, comfortable and inspirational – and delivers a true Pandora experience to anyone who works here or comes to visit.
About Pandora
Pandora designs, manufactures and markets hand-finished jewellery made from high-quality materials at affordable prices. Pandora jewellery is sold in more than 100 countries through 7,400 points of sale, including more than 2,700 concept stores.
Headquartered in Copenhagen, Denmark, Pandora employs 28,000 people worldwide and crafts its jewellery at two LEED certified facilities in Thailand using mainly recycled silver and gold. The company plans to be carbon neutral by 2025 and has joined the Science Based Targets initiative to reduce emissions across its full value chain. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated sales of DKK 21.9 billion (EUR 2.9 billion) in 2019.
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 17.12.2020, men kan have været deaktiveret og genaktiveret igen.
- Data Manager
- København
- Torsdag den 11. februar 2021
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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 |
|---|---|
| 26. december 2024 | 69 |
| 25. december 2024 | 68 |
| 24. december 2024 | 68 |
| 23. december 2024 | 65 |
| 22. december 2024 | 65 |
| 21. december 2024 | 63 |
| 20. december 2024 | 58 |
| 19. december 2024 | 60 |
| 18. december 2024 | 56 |
| 17. december 2024 | 52 |
| 16. december 2024 | 50 |
| 15. december 2024 | 50 |
| 14. december 2024 | 46 |
| 13. december 2024 | 55 |
| 12. december 2024 | 43 |
| 11. december 2024 | 46 |
| 10. december 2024 | 49 |
| 9. december 2024 | 48 |
| 8. december 2024 | 52 |
| 7. december 2024 | 52 |
| 6. december 2024 | 55 |
| 5. december 2024 | 52 |
| 4. december 2024 | 54 |
| 3. december 2024 | 58 |
| 2. december 2024 | 62 |
| 1. december 2024 | 65 |
| 30. november 2024 | 65 |
| 29. november 2024 | 65 |
| 28. november 2024 | 64 |
| 27. november 2024 | 64 |
| 26. november 2024 | 63 |
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