• Work with other developers and data scientists to code proof-of-concept projects on large scale data sets;

• Develop data processing and system integration applications;

• Construct web based user interfaces and visualizations;

• Document design decisions, code, and workflows;

• Migrate successful proof-of-concept projects into production environments;

• Quickly ingest new technologies to consider applicability to current or future needs;

• Utilize statistics and predictive analytics to create innovative solutions to business problems;

• Analyze business requirements as they relate to the ETL process; research, evaluate, and recommend alternative solutions;

• Design, develop, and test ETL applications consistent with application architecture guidelines;

• Participate in an agile-based approach implementing data services and solutions to deliver value rapidly;

• Implement a process to collect and maintain inventory of digital assets across the enterprise;

• Implement ETL processes, including data acquisition, data integration, data quality testing, data indexing and query answering;

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

• Advise researchers in the preparation and execution of their research data management plans;

• Collaborate with IT colleagues from Maastricht University and Maastricht University Medical Center.

Basic Qualifications

• 3+ years’ experience of IT platform development;

• Strong verbal and written communications skills;

• High quality standards;

• Bring a versatile toolbox with you. Know how to select and apply the best and most efficient tool for the job ahead (UML & ER diagrams, Epics, User Stories, UI Mockups, automated Unit and User Acceptance testing);

• Experience with Continuous Delivery (Bug Tracker, SCM, automated Test and Build tools);

• Understanding of database and analytical technologies (RDBMS, NoSQL storage, triple stores, SQL, SPARQL/Cypher/Gremlin);

• Understanding of Big Data technologies (Hadoop, Spark);

• Knowledge of one of those programming languages R (Shiny), Python (SciPy), Java, NodeJS, HTML5, JavaScript and CSS

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

• Proven experience in collaborative multidisciplinary teams;

• Ability to consistently deliver accurate effort estimates for work;

• Broad interest in scientific research and in the research process;

• Willingness to acquire new skills and propose new approaches.

Preferred Qualifications

• Participation in implementing large-scale global data warehousing and analytics projects;

• Participation in open source projects (reporting bugs, proposing features and ideas and constructive criticism, providing bug-fixes and new implementations);

• Ability to apply the right database, data warehousing or data sciences technology for the right job;

• Implementation and tuning experience using cloud computing platforms and frameworks.

Fixed-term contract: one year.

• 38  hours per week.

• The position is initially offered for one year, subject to evaluation and funding, the position is eligible for extension.

• Salary is competitive, and will be set in scale 9, depending on qualifications and work experience of the collective labour agreement of the Dutch Universities (expected minimum € 2.709,-) for a full-time job (38 hours/week). On top of this, there is an 8% holiday and an 8.3% year-end allowance.

• In addition, we offer an attractive package of fringe benefits such as, collective health insurance, substantial leave arrangements, parental leave packages, attractive retirement benefits and application for attractive fiscal arrangements for employees from abroad.

• We offer you a stimulating working environment with excellent facilities for professional and personal development.

• The position is embedded in a lively and creative working environment. Maastricht University has an excellent international reputation, and Maastricht itself is a beautiful, open-minded city located in the center of Western Europe.

• 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 employmen, please visit our website www.maastrichtuniversity.nl > Support > UM employees.

   

   

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 16,500 students and 4,000 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 Humanities and Sciences, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.

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 10 new positions in 2018. One of these positions is the Data Science developer.

http://www.maastrichtuniversity.nl

Institute of Data Science @UM

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 an interfaculty environment for collaborative innovation in the development and application of data science technologies. IDS consists of a core team of data science experts that cooperate closely with researchers across disciplines such as medicine, life sciences, law, social sciences and humanities, business and economics, knowledge engineering and smart services.

http://www.maastrichtuniversity.nl/ids