DSM

Data Engineer

Job description

DSM – Bright Science. Brighter Living.™
Royal DSM is a global, purpose-led, science-based company active in Nutrition, Health and Sustainable Living. DSM’s purpose is to create brighter lives for all. DSM addresses with its products and solutions some of the world’s biggest challenges while simultaneously creating economic, environmental and societal value for all its stakeholders – customers, employees, shareholders, and society at large. DSM delivers innovative solutions for human nutrition, animal nutrition, personal care and aroma, medical devices, green products and applications, and new mobility and connectivity. DSM and its associated companies deliver annual net sales of about €10 billion with approximately 23,000 employees. The company was founded in 1902 and is listed on Euronext Amsterdam.
More information can be found at www.dsm.com.
About the organization
The DSM Science & Innovation community is made up of creative thinkers, who thrive in fast-paced environments and continually come up with innovative solutions to meet the changing needs of our customers. Through collaborating with people in different fields and not being afraid to try new things, we innovate exciting new products, processes, and solutions. Data and knowledge-driven insights which are unlocked through digital and analytical tools and technologies are hereby key.
Our global Center for Digital Innovation (CDI) works with all of DSM’s Science and Innovation (S&I) programs in Biosciences & Process Innovation, Food & Beverages, Human Health Nutrition & Care and Animal Nutrition & Health. We bring together data and knowledge from consumer, markets, science and technology, and translate those into insights to accelerate DSM’s innovations.

The Challenge
As a data engineer, you shape the data infrastructure and data workflows for the research data that we continuously generate in-house and in partnership with universities and research institutes, and you help us gain valuable insights from them. We perform nutritional studies in humans and farm animals in-house and with external research institutes, but we also generate a lot of data with our products in our own laboratories, e.g., in chemistry, formulation, application, biotechnology, analytics, …

Key-responsibilities
  • Develop, improve and maintain data infrastructure, databases and data workflows for a wide variety of data, e.g., farm animal studies, next generation sequencing, analytical chemistry, metabolomics, human clinical trials, sensor data, …
  • Help to align data workflows across the different departments, competences, and technologies to facilitate correlation and connection of data
  • Propose pragmatic solutions based on cost/benefit, organizational and practical considerations, with a view to adding value within reasonable timeframes
  • Interact with data scientists, bioinformaticians, data managers, statisticians, life scientists and project managers to help them gain relevant insights from our data
  • Interfaces for data import/export, design GUIs, dashboards
  • Responsible for data specification and recommendations
  • Develop, maintain, and administer databases, data infrastructure, and data workflows across the organization
  • Promote awareness regarding data integrity, quality, consistency, access, and security
  • Make recommendations for software, hardware, and data storage upgrades together with IT

Experience
  • Bsc or MSc in computer science, informatics, bioinformatics, or related field
  • Minimum of 3-5 years of professional experience in applying data engineering in a business or science setting
  • Experience in applying FAIR data management, data engineering, data mining, data visualization, machine learning, artificial intelligence
  • Experience with data engineering, analytics and visualization tools (e.g., Python, R, PowerBI, Spotfire and Java) as well as modern database technologies (SQL and NoSQL databases).
  • Workflow languages: WDL, CWL, NetFlow, or other workflow language
  • Familiarity with data cloud applications and infrastructure (AWS, MS Azure)
  • Docker, (potentially also Kubernetes), to maintain and organize
  • GitHub, Confluence, Atlassian
  • ETL: extract, transform, load, in collaboration with data scientists
  • Ontologies and semantic data formats (e.g., RDF, Gremlin, SPARQL, …)
  • Strong communication and explanatory skills towards non-experts and stakeholders, able to work with multi-disciplinary and multi-national teams
  • Experience with requirement analysis with stakeholders across several departments

Workstyle
  • Efficient at documentation of systems, data structures and processes
  • Curiosity how you can add value to the business with the data infrastructure
  • Well organized, pragmatic and proactive problem-solver
  • Able to handle priorities across multiple stakeholders in different departments
  • Fluent in written and spoken English. Additional language skills would be an advantage.
  • Optional additional experiences
  • Familiarity with pharma clinical data standards such as CDISC would be welcome
  • Experience in working with agile teams is an advantage
  • Any familiarity with life science, pharma, clinical studies, nutrition, next generation sequencing, or analytical chemistry is an asset

Conditions
  • Location: Europe, ideally in Kaiseraugst/Switzerland near Basel or Delft/Netherlands, but working from home in these or other countries could be negotiable
  • Percentage: 80-100%, with flexible working hours

The Reward
  • We offer a challenging job at our world-leading Center for Digital innovation, fully supporting DSM’s purpose-led, performance driven strategy.
  • You will work in a company with an international reputation as sustainability leader.
  • DSM recognizes that the on-going success of the company depends on the continued development and engagement of our employees and pursues a fair and competitive remuneration policy, recognizing individual and team performance.
  • DSM’s wide diversity of disciplines makes it possible to offer employees a great variety of roles throughout their career.
  • At DSM we stimulate people to determine their own career path and we encourage international careers.
  • We strive to be an Employer of Choice and ensure that our employees are nurtured and given the opportunity to develop their talents.

To learn more about DSM’s HR vision and policy, please visit our website at www.dsm.com/careers.

Royal DSM is an equal employment opportunity and
affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law.

At DSM, we believe that a brighter future is built on diversity. We’re proud to offer equal employment opportunities and to be an affirmative action employer. That means that we consider applications based on how well suited you are for the role – regardless of race, color, religion, sexual orientation, gender identity, national origin, age, protected veteran status or disability.

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