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Position: FAIR Data Engineer at BISS
Institution: Maastricht University
Location: Maastricht, Limburg, Netherlands
Duties: The FAIR Data Engineer will work with our research teams to design and develop software solutions that will support scientific projects, where main responsibilities include the design, creation and support of databases using good data management practices, the development of workflows and pipelines for data integration and analysis, user-facing applications, and end-to-end data flows. Position Description; Design, document, implement and maintain efficient code, software and large-scale databases to support data science research using standard methodologies and good practices; Collaborative design and implement ETL processes and data processing pipelines including: data cleaning, data acquisition, data integration, data quality testing, data indexing, and persistent access interfaces and co-develop (and implement) FAIR (Findable, Accessible, Interoperable, Reusable) data infrastructures; Develop software supporting the ETL process and FAIR data infrastructures; Join various projects and sub-teams and interact with outside parties; Contribute and/or lead to reporting of results in scientific workshops, conferences, and journals; Opportunity to learn the latest technologies and apply them in new projects
Requirements: Qualifications/experience: 3 years’ experience on software development; MSc in computer science or equivalent; Fluent in English (better than IELTS 7, or equivalent) and have strong verbal and written communications skills; Expertise in data processing and ETL tooling, cleaning and harmonization; Knowledge of both relational and no-SQL (e.g. knowledge graph) database design, creation and maintenance; Knowledge of the FAIR principles; Expertise in programming languages supporting the data engineering and machine learning workflow (such as Python, Java, R, JavaScript); Expertise in version control systems (e.g. Git repositories) and knowledge of CI/CD platforms; Knowledge of the predictive modelling and the machine learning workflow/pipeline, or experience in business intelligence; Experience using cloud-based systems, and various operating systems (Linux/Windows); Must have excellent interpersonal skills and a high degree of professionalism; Experience in software development project management; Broad interest in scientific research and in supporting the research process
   
Text: FAIR Data Engineer at BISS Published Deadline Location yesterday 6 Oct Heerlen Brightlands Institute for Smart Society (BISS) is seeking applications for a position of FAIR Data Engineer Job description The FAIR Data Engineer will work with our research teams to design and develop software solutions that will support scientific projects, where main responsibilities include the design, creation and support of databases using good data management practices, the development of workflows and pipelines for data integration and analysis, user-facing applications, and end-to-end data flows. Position Description Design, document, implement and maintain efficient code, software and large-scale databases to support data science research using standard methodologies and good practices Collaborative design and implement ETL processes and data processing pipelines including: data cleaning, data acquisition, data integration, data quality testing, data indexing, and persistent access interfaces and co-develop (and implement) FAIR (Findable, Accessible, Interoperable, Reusable) data infrastructures Develop software supporting the ETL process and FAIR data infrastructures Join various projects and sub-teams and interact with outside parties Contribute and/or lead to reporting of results in scientific workshops, conferences, and journals Opportunity to learn the latest technologies and apply them in new projects Specifications max. 38 hours per week €2790—€4402 per month Heerlen View on Google Maps Maastricht University (UM) Requirements Qualifications / experience: 3 years’ experience on software development MSc in computer science or equivalent. Fluent in English (better than IELTS 7, or equivalent) and have strong verbal and written communications skills Expertise in data processing and ETL tooling, cleaning and harmonization Knowledge of both relational and no-SQL (e.g. knowledge graph) database design, creation and maintenance Knowledge of the FAIR principles Expertise in programming languages supporting the data engineering and machine learning workflow (such as Python, Java, R, JavaScript) Expertise in version control systems (e.g. Git repositories) and knowledge of CI/CD platforms Knowledge of the predictive modelling and the machine learning workflow/pipeline, or experience in business intelligence Experience using cloud-based systems, and various operating systems (Linux / Windows) Must have excellent interpersonal skills and a high degree of professionalism Experience in software development project management Broad interest in scientific research and in supporting the research process Conditions of employment Conditions of employment 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 € 2790 and a maximum of € 4402 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, 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 2 years, subject to evaluation and funding, the position is eligible for extension. We provide a stimulating, collaborative and interdisciplinary work environment with excellent opportunities for professional and personal development; If in the candidate’s interest, we are willing explore the possibility to join the PhD program at UM Maastricht University has an excellent international reputation, and Maastricht itself is a beautiful, open-minded city located in the center of Western Europe. Employer Maastricht University, BISS http://www.maastrichtuniversity.nl/ 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 4,400 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. https://www.biss-institute.com/ BISS - Brightlands Institute for Smart Society is an interfaculty institute, designed as the UM platform for translational data-driven innovation, research & education joining expertise and staff from all UM faculties, in the context of the Brightlands Smart Services Campus ecosystem. The institute is built around a team of researchers fostering interdisciplinary innovation on the edge of fundamental research and societal challenges. BISS enhances the collaborative application of academic knowledge and expertise from a variety of fields to address business and societal challenges accelerating innovation and creating societal impact in a digitalising world. BISS aims to empower people and organizations through the socially responsible application of digital technologies. BISS is located in Heerlen at the Brightlands Smart Services Campus (BSSC). The BSSC ecosystem combines science, entrepreneurship, talent and state-of-the-art facilities in one place. The campus enables research institutes and companies to innovate faster and more efficiently and attracts innovative start-ups. The knowledge institutions collaborate closely with the campus organization in various programs. Twitter
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