Cloud Data Engineer
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Virum
Make your ability count at nne
We are experts in end-to-end pharma engineering, and our success is built on our relationships, both with our colleagues and our customers. If you want to work on projects shaping the future of sustainable and intelligent pharma facilities, nne is the place to be.
Work with us
Do you work with cloud services, have you used CDK and are familiar with CI/CD pipelines? Is programming like second nature to you? Does building real-time data connectivity pipelines supporting advanced analytics pique your interest? Would you like to improve your skills in building cloud-based applications in AWS or Azure/Databricks? Then join our Manufacturing Intelligence team in Copenhagen and become our next Consultant within Cloud- and Data Engineering!
nne Manufacturing Intelligence is a full-service provider of intelligence solutions within pharma manufacturing. We work with all aspects of data engineering/data science from cloud services, consultancy services, design, implementation, test/validation, and data analytics, machine learning to AI. Our specialty is data connectivity solutions for Pharma manufacturing, that enable data-driven decision-making, automation of processes and faster access to critical production data.
What we look for
We are looking for an experienced data engineer or recent graduate with relevant work experience, who is outgoing, curious and engaged, and holds high ambitions for ensuring great quality in own work, and a willingness to share and learn from your peers. You will be asked to contribute, from day one, to our growing team of diverse Data Engineers and Data Scientists.
Your role as a Consultant in Manufacturing Intelligence will be to develop, test and implement the next generation of cloud solutions for pharma manufacturing environments. Collaborate with customers to turn ideas into value adding solutions and supporting them in every step of the way from design to implementation; and lastly, you will be a part of the project teams and participate on equal terms with your 50+ committed colleagues in Denmark and India.
We offer colleagues with pharma domain knowledge that can further advance your cloud skills within this field, along with hundreds of years of experience in pharma engineering.
CUSTOM.SENIORITYLEVEL
CUSTOM.JOBFUNCTIONS
EMPLOYMENT.TYPE
OU.DIVISION
OU.LOCATION.ADDRESS
Your daily work can vary a lot, sometimes working from the office in Virum, client sites, or from home, we offer full flexibility. But you also get to work on different projects, for different customers, and across teams within our department to tackle problems with data acquisition, data wrangling, data contextualization, data modelling, and not at least writing well-structured code, that is linted, tested, and ready to deploy.
Projects you could be working on include e.g.: deploying infrastructure as code, real-time data ingestion from the manufacturing shopfloor to production dashboards, full-stack applications to support Release-by-Exception workflows, or automated scientific report generator! All created using your skills in Typescript/JavaScript and cloud architecture designed and developed by you and your colleagues.
nne Manufacturing Intelligence emphasizes knowledge sharing, and we encourage our consultants at all levels to actively participate in our Cloud or Data Science forums where we develop and share best practices for developing solutions for our customers.
At nne, we care about who you are as a person. In the end, how you work, and your energy, is what impacts the work we do as a team. As a person, you are:
To apply for the position there are some things that are needed, and others are a bonus. We believe these qualifications are needed for you to do well in this role:
Together we shape the future of pharma engineering
Think of how it would be going to work every day to help pharma manufacturers establish efficient, sustainable and intelligent facilities that are essential for drug production worldwide. This is nne. We are born and raised within pharma, which makes us more than a consultant engineering company. And if you share our values of innovating, taking initiative, and believing in teamwork, we invite you to join the passion!
Sounds like something you’d like to do? If you’re ready to unleash your potential, let’s have a talk.
Deadline of application is 31 August 2023. We will invite to interviews on a running basis but due to vacation, response time might be longer.
Questions before applying? Please contact Manager Steffen Gabriel Brandenhoff on 30 75 76 61
Please note we only accept applications submitted through our online recruitment system.
To ensure an efficient and fair recruitment process, we encourage you to refrain from adding a photo in your CV.
At nne, we commit to an inclusive recruitment process and equality of opportunity for all our job applicants.
To learn more about us visit www.nne.com
We are experts in end-to-end pharma engineering, and our success is built on our relationships, both with our colleagues and our customers. If you want to work on projects shaping the future of sustainable and intelligent pharma facilities, nne is the place to be.
Work with us
Do you work with cloud services, have you used CDK and are familiar with CI/CD pipelines? Is programming like second nature to you? Does building real-time data connectivity pipelines supporting advanced analytics pique your interest? Would you like to improve your skills in building cloud-based applications in AWS or Azure/Databricks? Then join our Manufacturing Intelligence team in Copenhagen and become our next Consultant within Cloud- and Data Engineering!
nne Manufacturing Intelligence is a full-service provider of intelligence solutions within pharma manufacturing. We work with all aspects of data engineering/data science from cloud services, consultancy services, design, implementation, test/validation, and data analytics, machine learning to AI. Our specialty is data connectivity solutions for Pharma manufacturing, that enable data-driven decision-making, automation of processes and faster access to critical production data.
What we look for
We are looking for an experienced data engineer or recent graduate with relevant work experience, who is outgoing, curious and engaged, and holds high ambitions for ensuring great quality in own work, and a willingness to share and learn from your peers. You will be asked to contribute, from day one, to our growing team of diverse Data Engineers and Data Scientists.
Your role as a Consultant in Manufacturing Intelligence will be to develop, test and implement the next generation of cloud solutions for pharma manufacturing environments. Collaborate with customers to turn ideas into value adding solutions and supporting them in every step of the way from design to implementation; and lastly, you will be a part of the project teams and participate on equal terms with your 50+ committed colleagues in Denmark and India.
We offer colleagues with pharma domain knowledge that can further advance your cloud skills within this field, along with hundreds of years of experience in pharma engineering.
Seniority
CUSTOM.SENIORITYLEVEL
Job functions
CUSTOM.JOBFUNCTIONS
Employment type
EMPLOYMENT.TYPE
Department
OU.DIVISION
Location
OU.LOCATION.ADDRESS
How you might spend your days
Your daily work can vary a lot, sometimes working from the office in Virum, client sites, or from home, we offer full flexibility. But you also get to work on different projects, for different customers, and across teams within our department to tackle problems with data acquisition, data wrangling, data contextualization, data modelling, and not at least writing well-structured code, that is linted, tested, and ready to deploy.
Projects you could be working on include e.g.: deploying infrastructure as code, real-time data ingestion from the manufacturing shopfloor to production dashboards, full-stack applications to support Release-by-Exception workflows, or automated scientific report generator! All created using your skills in Typescript/JavaScript and cloud architecture designed and developed by you and your colleagues.
nne Manufacturing Intelligence emphasizes knowledge sharing, and we encourage our consultants at all levels to actively participate in our Cloud or Data Science forums where we develop and share best practices for developing solutions for our customers.
Who you are
At nne, we care about who you are as a person. In the end, how you work, and your energy, is what impacts the work we do as a team. As a person, you are:
- You are result-oriented and are enthusiastic about your work
- You like to try new technologies, appreciate steep learning curves and are comfortable working close with customers and colleagues in teams
- You are inspired by a working environment with a young team with lots of knowledge sharing.
The miles you’ve walked
To apply for the position there are some things that are needed, and others are a bonus. We believe these qualifications are needed for you to do well in this role:
- You hold a degree within Computer Science, Software Engineering or similar.
- You have 1-2 years of working experience, can be from a relevant student position.
- You are proficient in at least one language such as: JavaScript/Typescript or Python, preferably both
- You have been working with CDK, Cloudformation or similar
- Experience with agile projects & teams
- Ambition to put your technical skills into play in a Consultancy role
In addition to the above, you have an advantage if you have experience in one or more of the following areas: - Associate level or higher certification in Cloud solutions / Serverless Architecture (in AWS or Azure)
- CI/CD Tools such as GitHub or Azure DevOps
- Docker containers
- Kafka Event cues
- DataBricks lake house infrastructure
- Manufacturing systems (Timeseries data, SCADA, MES, PLC etc.)
As part of your work with us, we will provide you with enough training and support to become strong in all of the above in record time.
Your future colleagues express the following about nne and the overall purpose they contribute to:
“Working at nne gives me the chance to work with anything from Cloud Technologies to data acquisition from PLCs. Every project and every customer are different so there is never a dull moment. If you ever encounter a problem you cannot solve, you can always find a colleague that will drop everything and help you succeed.”
Together we shape the future of pharma engineering
Think of how it would be going to work every day to help pharma manufacturers establish efficient, sustainable and intelligent facilities that are essential for drug production worldwide. This is nne. We are born and raised within pharma, which makes us more than a consultant engineering company. And if you share our values of innovating, taking initiative, and believing in teamwork, we invite you to join the passion!
Sounds like something you’d like to do? If you’re ready to unleash your potential, let’s have a talk.
Deadline of application is 31 August 2023. We will invite to interviews on a running basis but due to vacation, response time might be longer.
Questions before applying? Please contact Manager Steffen Gabriel Brandenhoff on 30 75 76 61
Please note we only accept applications submitted through our online recruitment system.
To ensure an efficient and fair recruitment process, we encourage you to refrain from adding a photo in your CV.
At nne, we commit to an inclusive recruitment process and equality of opportunity for all our job applicants.
To learn more about us visit www.nne.com
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Virum.
Jobbet er oprettet på vores service den 23.3.2023, 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.
- Data Manager
- Virum
- Torsdag den 31. august 2023
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Statistik over udbudte jobs som data managere i Virum
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Statistik over udbudte data managere i Virum over tid
| Dato | Alle jobs som data managere |
|---|---|
| 7. november 2024 | 1 |
| 6. november 2024 | 1 |
| 15. oktober 2024 | 1 |
| 14. oktober 2024 | 1 |
| 13. oktober 2024 | 1 |
| 12. oktober 2024 | 1 |
| 11. oktober 2024 | 1 |
| 10. oktober 2024 | 1 |
| 9. oktober 2024 | 1 |
| 8. oktober 2024 | 1 |