The Data Science Engineer works as an advanced technical lead within the Community of Data Driven Insights (CDDI) to contribute to the aim of the university to have most of the research data FAIR by 2025. This individual designs, develops, implements and continuously refines data warehouse architecture, data integration methods, scientific computing platforms and frameworks, analysis pipelines, user-facing applications, and end-to-end data flows. 

The primary focus will be the development and maintenance of flexible data architectures and computing solutions. This position will work with the CDDI stakeholders, database administrators, software engineers, research staff, and scientists from the university and medical center, to design, deploy and maintain scalable and reproducible computing solutions over prioritized data assets with focus on Biomedical Imaging data. This includes, but is not limited to, building and deploying:  ETL processes, modelling, data quality assessments, data tool\system administration, workflows and executable frameworks. 

Position Description

• Drive an agile-based approach to implementing data services and solutions to deliver value rapidly

• Contribute to processes to collect and maintain inventory of digital assets across the enterprise

• Design, direct and implement ETL processes, including data acquisition, data integration, data quality testing, data indexing and query answering

• Build innovative data management, with real-time and predictive analytic capabilities 

• Work with colleagues from Maastricht University and Maastricht University Medical Center to coordinate the development of computing infrastructure tailored for the needs of CDDI

• Follow trends and developments in the field of research data, linked data, data visualization, machine learning, text and data mining, etc.

• Provide analysis and recommendations to overall strategy and roadmap to build data warehouse environment and supporting toolsets

Basic Qualifications

• Work experience of IT platform implementation in a highly technical and analytical role

• Customer facing skills to prepare discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation

• Understanding of database and analytical technologies in the industry including massively parallel processing databases, noSQL storage, triple stores, data warehouse design, business intelligence reporting and dashboard development

• Implementation and tuning experience for Apache Hadoop/Spark and tools such as Pig and Hive

• Knowledge of one or more programming languages (Java, R, Python, Scala)

• Knowledge of semantic technologies (RDF, OWL, SPARQL, etc.)

• Strong verbal and written communications skills

• Proficiency of the English language

• Proven experience in collaborative multidisciplinary teams

•  Experience with bio-medical imaging (MRI data)

• Pro-Active and can work independently

• Ability to deliver accurate effort estimates for work

• Broad interest in scientific research and in the research process

Preferred Qualifications

• Experience with XNAT platform and BIDS data format

• Good command of the  Dutch Language

• Hands on experience leading large-scale global data warehousing and analytics projects

• Implementation and tuning experience using cloud computing platforms and frameworks

Dienstverband voor bepaalde tijd: one year.

• .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 www.maastrichtuniversity.nl > Support > UM employees.

• The salary is competitive, depending on qualifications and work experience between € 2.835,00 and a maximum of € 4.274,00 per month, based on a full-time appointment (38 hours per 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, parental leave packages, attractive retirement benefits and application for attractive fiscal arrangements for employees from abroad;

• 38 hours per week (less is possibility with a minimum of 30,4 hours a week)

• The duration of the appointment is 1 year

• 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 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 16,300 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.

http://www.maastrichtuniversity.nl