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Data Engineer in Manufacturing Intelligence team

Are you looking for an opportunity to put your data engineering skills to use in a innovative, purpose driven environment? We know the value of a great Data Engineer and we are looking for one that can create the foundation for advanced analytics and machine learning in Novo Nordisk Product Supply. If you have experience with designing data pipelines and the ability to translate complex logic into data solutions, then you might be our new colleague to contribute to a variety of exciting digitalization projects in Novo Nordisk! 

The position 

As a Data Engineer in our Manufacturing Intelligence team, you will be working with some of the most data savvy people in the company and on some of the most exciting advanced analytics projects across Novo Nordisk global production. 

Your main responsibilities will be: 

  • Collaborating with cross-function teams and IT to design and build data pipelines for cleaning, transforming and combining datasets from wide variety of data sources. 

  • Understanding the business stakeholders and business problems and apply your knowledge to deliver the outcomes 

  • Design data architectures in proof-of-concepts and production environments 

  • Analyse and assemble data from different data sources i.e. IoT telemetry, historian databases in real-time or batch manner and build the data-driven solutions 

  • Support fellow Data Engineers and Data Scientists on new project initiatives to ensure consistency in the optimal data delivery architecture 

  • Taking an active part in driving data and analytics 

    When joining our team as a Data Engineer, you can expect to grow your knowledge of manufacturing and process engineering. As we are relatively new team, you will have a large say in the choice of which tools we will use and will have a large fingerprint on the platforms we develop. 


    You have a master’s degree in computer science, software development, engineering, or similar field and at least 3 years of working experience with designing data pipelines in cloud environments such as AWS or Azure.

    Futhermore, we expect you to have experience in the following areas:

  • Experience in handling bigdata or real-time data, data lake, distributed processing framework i.e. Hadoop, Spark etc. 

  • Experience with streaming technologies e.g. Kafka, AWS Kinesis etc. 

  • Experience developing solutions on cloud platforms e.g. AWS, Azure, or similar 

  • Databases knowledge i.e. SQL, Postgres, or similar 

  • Experience with NoSQL e.g. HBase, MongoDB, Cassandra, or similar 

  • Experience with at-least one programming language i.e. Python, Java

  • It would be considered an advantage if you also have: 

  • Experience with CI/CD and docker

  • Exposure to IoT technologies

  • As we are a global company and an international team, fluency in both spoken and written English is required.

    Our ideal candidate will have the ability to translate complex logic into data solutions that can be used by the decision-makers and data scientists. You enjoy being part of a broader data engineering community and have passion for learning and applying the latest technology trends within manufacturing intelligence. 

    About the department 

    Novo Nordisk is an international company with manufacturing sites around the world and sales affiliates in all corners. Data is collected from sensors, production machines, ERP systems, et al., and transformed into daily insights that enable decision makers at all levels to make evidence-based decisions or fully automate the decision-making process. 

    The Product Supply Manufacturing Intelligence department is tasked with the exciting challenge of enabling our global Manufacturing sites to make better decisions through data to increase efficiency, increase quality, and increase empowerment through data transparency.

    You will join a dynamic and diverse team of people who speaks more than 13 languages. As a part of a fairly new team, you will play an important role in contributing to developing both the culture, team as well as yourself. Our team is characterized with freedom under responsibility where we want to bring the best out of each individual. Our ambition is to be the frontier of data and analytics, use the latest techniques and software to draw greater insights and future predictions from the data and thus making a significant impact on how we manage the future Manufacturing operation. 

    Together with more than 100 manufacturing lines, we aim to build scalable platforms for extracting, transforming, and storing data along with tools for utilising and visualising the data. For instance, we are aiming to build a platform for streaming data from sensors, PLCs, and other sources, to visualise line performance and problems in near real-time. To this end we are developing our stack with Amazon Webservices, IoT, and open source streaming tools. 

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