(Senior) Data Engineer
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Søborg
Do you want to be part of a dynamic Data & Modelling team where innovation meets excellence, and be a key player in building the foundational data ontology, infrastructure and pipelines for machine learning & mathematical modelling digital products that transform how we drive clinical drug development? If yes, then this role might be tailor made for you. Apply today and join us for a life-changing career! The position
In this position, you will use your strong analytical and technical competencies delve into diverse datasets, extracting valuable insights to enhance our machine learning and mathematical modelling solutions. You will design, implement, and mature our cloud-based data- infrastructure and pipelines of large-scale ML and Mathematical Modelling products. Together with your Data Engineering- and Data Science colleagues, you will take an integral part in a product team, collaborating with a broad range of profiles with mixed competencies to deliver on digital solutions that enable more intelligent use of data and ultimately improve the lives of people living with chronic diseases. Qualifications
To fulfil the role, it is essential that you can use your good interpersonal and communication skills to achieve results together with your colleagues. We treasure the positive atmosphere in our team and count on you to engage and participate in a positive manner as well. It is an advantage if you can tick of any of the below: A master’s or PhD degree in Engineering, Computer Science, Data Science, Mathematics, Statistics, Physics, Economics, or similar, with a strong technical and analytical mindset. A structured approach to exploring datasets, recommending how they can provide value, and designing their integration into the existing data ontology. More than 3 years of experience in a data engineering role, with a focus on designing and implementing cloud-based data infrastructure and pipelines, ideally in a production-mature machine learning environment and MLOps setup. Proficiency in programming languages, preferably Python, and adherence to software development standards and CI/CD, e.g. using Azure DevOps. Fluency in SQL, and a general understanding of databases. Technical expertise in data engineering technologies and tool stacks, such as API integrations, database migrations, ORMs, ETL/ELT processes, and (open source) tools. Experience with Docker, ideally on Kubernetes, is a plus. Experience in writing Infrastructure-as-code (IAC), e.g. using Terraform or Azure Resource Manager (ARM) templates. Knowledge within the pharmaceutical or medical field is an advantage.
About the Department
The Data & Modelling department is the home of a team of highly professional, engaged, and motivated data engineers and data scientists, who take a core part in novel digital solutions throughout the clinical drug development value chain. The Data & Modelling team is part of the Development organisation. In Development we are responsible for managing clinical drug development worldwide from early development phases to product launch. We provide medical and scientific documentation for clinical submissions and authorities while ensuring that the process lives up to global standards, regulations and business ethics. We are located in Søborg, Denmark. Working at
is a global healthcare company with more than 90 years of innovation and leadership in diabetes care. This heritage has given us experience and capabilities that also enable us to help people defeat obesity, haemophilia, growth disorders and other serious chronic diseases.
is its people. We know that life is anything but linear and balancing what is important at different stages of our career is never easy. That’s why we make room for diverse life situations, always putting people first. We value our employees for the unique skills they bring to the table, and we work continuously to bring out the best in them. Working at is working toward something bigger than ourselves, and it’s a collective effort. relies on the joint potential and collaboration of its more than 40,000 employees. Together, we go further. Together, we’re life changing. Moreover, we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and the communities we operate in. Contact
For any questions, please contact Nicklas Walldorf, Head of Data & Modelling, at . Deadline
May 14th, 2024. Please note that applications will be reviewed continuously, and interviews will be planned in May. There is no requirement to append a cover letter with your application. However, we would appreciate if you could incorporate a brief statement in your resume or CV detailing your motivation for applying. In the interest of promoting an efficient and equitable recruitment process, we kindly request you to exclude any photographs from your CV. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.
In this position, you will use your strong analytical and technical competencies delve into diverse datasets, extracting valuable insights to enhance our machine learning and mathematical modelling solutions. You will design, implement, and mature our cloud-based data- infrastructure and pipelines of large-scale ML and Mathematical Modelling products. Together with your Data Engineering- and Data Science colleagues, you will take an integral part in a product team, collaborating with a broad range of profiles with mixed competencies to deliver on digital solutions that enable more intelligent use of data and ultimately improve the lives of people living with chronic diseases. Qualifications
To fulfil the role, it is essential that you can use your good interpersonal and communication skills to achieve results together with your colleagues. We treasure the positive atmosphere in our team and count on you to engage and participate in a positive manner as well. It is an advantage if you can tick of any of the below:
The Data & Modelling department is the home of a team of highly professional, engaged, and motivated data engineers and data scientists, who take a core part in novel digital solutions throughout the clinical drug development value chain. The Data & Modelling team is part of the Development organisation. In Development we are responsible for managing clinical drug development worldwide from early development phases to product launch. We provide medical and scientific documentation for clinical submissions and authorities while ensuring that the process lives up to global standards, regulations and business ethics. We are located in Søborg, Denmark. Working at
is a global healthcare company with more than 90 years of innovation and leadership in diabetes care. This heritage has given us experience and capabilities that also enable us to help people defeat obesity, haemophilia, growth disorders and other serious chronic diseases.
is its people. We know that life is anything but linear and balancing what is important at different stages of our career is never easy. That’s why we make room for diverse life situations, always putting people first. We value our employees for the unique skills they bring to the table, and we work continuously to bring out the best in them. Working at is working toward something bigger than ourselves, and it’s a collective effort. relies on the joint potential and collaboration of its more than 40,000 employees. Together, we go further. Together, we’re life changing. Moreover, we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and the communities we operate in. Contact
For any questions, please contact Nicklas Walldorf, Head of Data & Modelling, at . Deadline
May 14th, 2024. Please note that applications will be reviewed continuously, and interviews will be planned in May. There is no requirement to append a cover letter with your application. However, we would appreciate if you could incorporate a brief statement in your resume or CV detailing your motivation for applying. In the interest of promoting an efficient and equitable recruitment process, we kindly request you to exclude any photographs from your CV. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.
Information og data
Denne ledige stilling har jobtypen "Softwareudvikler", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Søborg.
Jobbet er oprettet på vores service den 1.5.2024, 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.
- 01.05.2024
- Softwareudvikler
- Søborg
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