Data Science Engineer (DevOps)

At the Institute of Data Science at Maastricht University, our staff have exceptional opportunities to develop revolutionary systems in data science, knowledge engineering and artificial intelligence that advance the state of the art and impact people’s lives around the world. Our work advances learning and discovery, improves health and wellbeing, and strengthens the abilities of communities to use data-driven systems in a responsible manner.

Job description
Institute of Data Science at Maastricht University has an opening for a Data Science Engineer to join our team of qualified, diverse individuals. 

The Data Science Engineer will work with our research and development teams to architect, provision, and support scientific computing platforms, databases and data lakes, workflows and pipelines for data integration and analysis, user-facing applications, and end-to-end data flows. 

  • Collaboratively develop overall strategy and roadmap to establish a complete scientific computing environment for data science and artificial intelligence use cases.
  • Design, document, implement and manage appropriate DevOps Solutions
  • Collaborative design and implement ETL processes, including data acquisition, data integration, data quality testing, data indexing, and persistent access interfaces.
  • Evangelize and support communications around the architecture and technology stack and support efforts to facilitate buy-in and alignment prior and during implementation.


  • Extensive experience in development, operations and full stack implementations;
  • Extensive experience in coding using languages such as Java, Python, PHP, Rust, Scala;
  • Expertise using configuration management automation tools;
  • Experience with Git, GitHub, GitLab, and Docker;
  • Excellent English-language presentation, communication, and writing skills;
  • Must have excellent interpersonal skills, a high degree of professionalism and the ability to design technology solutions for small organizations;
  • Ability to discuss with senior personnel regarding trade-offs, best practices, project management, accurate time estimates, and risk mitigation plans;
  • Familiarity with both Linux and Windows;
  • Broad interest in scientific research and in supporting the research process.


  • Implementation and tuning experience using cloud computing platforms and frameworks;
  • Hands on experience leading large-scale global data warehousing and analytics projects;
  • Experience in establishing and employing continuous integration practices and tools;
  • Implementation and tuning experience for Apache Hadoop/Spark, MapR, and OpenShift.

Conditions of employment

  • The duration of the appointment is 2 years, with the possibility of renewal;
  • 38 hours per week (less is possibility with a minimum of 30,4 hours a week);
  • We offer a rewarding career at a young university in the heart of Europe, with a distinct global perspective and a strong focus on innovative research and education;
  • The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO), supplement with local UM provisions. For more information on terms of employment, please visit our website > Support > UM employees;
  • The salary is competitive, depending on qualifications and work experience between €3637 and a maximum of €4978 per month, based on a full-time appointment (38 hours/week);
  • On top of this, there is an 8% holiday allowance and an 8.3% end of the year allowance;
  • We offer an attractive package of fringe benefits such as, reduction on collective health insurance, substantial leave arrangements, optional model for designing a personalised benefits package, sport facilities which staff may use at a modest charge and application for attractive fiscal arrangements for employees from abroad;
  • We provide a stimulating, collaborative and interdisciplinary work environment with excellent opportunities for professional and personal development;
  • Maastricht University has an excellent international reputation, and Maastricht itself is a beautiful, open-minded city located in the center of Western Europe.

Maastricht University
Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 18,000 students and 4,300 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.

Institute of Data Science
Institute of Data Science

The Institute of Data Science at Maastricht University (IDS@UM) is a recently established center led by distinguished professor Michel Dumontier. The mission of the Institute of Data Science is to foster a collaborative environment in the study, development, and application of data science and artificial intelligence technologies. IDS consists of a core team of data science experts that cooperate closely with researchers across disciplines such as knowledge engineering, medicine, life sciences, law, social sciences and humanities, business and economics. 

Data Science Community @ Maastricht University

Data Science@Maastricht University is a pioneering, university-wide network of data-driven researchers with more than 25 years’ experience in data science education and research. Our community consists of multidisciplinary teams that address significant scientific problems and major societal issues through and related to data science including social, legal and ethical concerns in a wide range of academic disciplines. The Data Science@ UM community is expanding with at least 15 new positions in 2019.

Additional information
Discover the online recruitment tool, apply with your (Linked in) CV and in the second round a video pitch and personality questionnaire, following the apply buttom to the link on the Skeeled platform.

Deadline for this vacancy is October 13, 2019.

The first round of (possible online) job interviews will be held on 25 October 2019.

Candidates will receive a notification in the week prior to the job interviews.

Informal inquiries concerning this position can be directed to:
Claudia van Oppen, Manager, Institute of Data Science:

Additional information about this vacancy can be obtained from:
Michel Dumontier, Director Institute of Data Science :