Data Engineer (1.0 fte)

Job description

Are you an IT professional who would like to enable scientists and students to continuously create the unthinkable? Do you want to be challenged every day to work on supporting the future of technology and education? Are you motivated by the idea of working in a multidisciplinary environment where your skills and input are valued and immediately put into action? Our IT landscape provides an important key to supporting the curiosity that drives innovation and, hence, so do you!

We are looking for a data engineer who is motivated to work in a multidisciplinary team of technical and non-technical experts, all of whom are shaping the design and deployment of analytics solutions at the university from the ground up. You will be pioneering in an energetic, result-oriented team that is focused on providing high-quality, sustainable analytics data input for improving education, research management and operations at the university. Your efforts will visibly and impactfully contribute to the provision of information and insights to several university stakeholders enabling our students and scientists to tackle the societal challenges of tomorrow.

Which challenge do we offer you?
As our data engineer, you will develop how we process data, ensuring quality and secure data handling as well as compliance with privacy guidelines and good data governance. You have a diverse task package and will be called upon to actively design and execute innovative solutions to provide cross-domain analytics data and insights. These solutions must fit the university’s strategic vision as well as its infrastructure and policies. As such, we are looking for a proactive individual, a good communicator who is up for a challenge, and a professional that can pragmatically think in terms of solutions.

Your tasks will consist of:

• Data engineering for cross-domain analytics;
• Building complex queries to answer business questions;
• Turning data into information using dashboards and reports;
• Developing, testing, deploying, and monitoring data pipelines.

Job requirements

We are looking for someone with the following background: 

• Expert knowledge of SQL and Python
• Experience working with Jupiter notebooks or similar
• Experience working with Git or other version control systems
• Experience developing business critical solutions
• Knowledge of REST services, API’s and JSON
• Experience in working with Unix systems
• Preferably knowledge of machine learning
• Preferably experience using Databricks and Delta Lake
• Experience with the Agile way of working is a plus
• Excellent verbal and written communication skills. Fluent in English at minimum, Dutch is a plus
• Eager to learn new things and a can-do mindset
• Willingness to perform operational tasks and develop other skill sets outside of strict job descriptions
• All appropriate permits to work in the EU

Conditions of employment

• An environment where you are encouraged to develop yourself in the field of IT innovation
• Working at an inspiring campus where we work for the benefit of humanity and where you have plenty of room for personal development and growth
• We offer a market conform salary depending on your education and relevant work experience (university salary scale 11, € 3.974 - € 5.439 per month).
• We offer a one-year contract, with prospect of permanent position
• An attractive package of fringe benefits, including excellent work facilities, extra holiday allowance 8% in May, end-of-year bonus of 8.3% in December and 41 holidays per year on basis of a 40 hours work week.

Information and application

Information:

For questions about the position feel free to contact: Susan Lambriks at S.R.Lambriks@tue.nl or 040 247 8821. Interested candidates are encouraged to apply using the ‘apply now’-button.

We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary, please combine files.

Acquisition as a result of this advertisement is not appreciated.