Lecturer In Data Engineering

About this job

You will be teaching in the Applied Science & Artificial Intelligence bachelor’s programme of our Academy for AI, Games & Media (AGM). Your job duties will involve teaching students the basics in data engineering, as well as contributing to the development of the programmes and their digital learning environment. Some of your activities will include:

• Developing, implementing, and teaching of course material and workshops in the field mentioned above at both bachelor’s and master’s levels;
• Guiding third-year students, alongside students from other programmes, in learning to collaborate with domain specialists;
• Developing project briefs and assessments for students;
• Coaching and supervising students in our Labs (the project environment for students), during placements and in graduation projects;
• Since BUas considers applied research as one of its core responsibilities, participation in research projects (e.g., KreativeEU) may also be part of the position.

Knowledge of Python, SQL, cloud experience, experience using Git for version control, and affinity with Machine Learning and/or Operations Research concepts are essential for success in this position. Any experience with Scala/Java, Apache Hadoop, Spark, deployments using Docker or Terraform (IAC), CI/CD, is seen as a plus.

As a lecturer (0.6-1FTE) at BUas, you will have the opportunity to guide and support smart and highly committed young individuals on their journey to excellence in the creative business industry. Your role will include providing academic advice and support to students, fostering their personal and professional development.

What do we offer?

• The salary for this position amounts to a monthly minimum of €4,535.76 and a monthly maximum of €6,359.47 (gross amounts based on full-time employment);
• This position is classified in scale 11 of the cao-hbo (collective labour agreement). Your official job title will be that of lecturer;
• This position involves a one-year employment contract with the possibility of conversion into an indefinite employment contract;
• Your commuting expenses will be fully reimbursed if you travel by public transport;
• You will receive an end-of-year bonus of 8.3% in December and an 8% holiday allowance in May;
• You will receive a contribution towards your health insurance costs;
• You will build an attractive pension through the ABP pension fund;
• You will also be awarded professional development hours every year and approximately 11 weeks of holiday entitlements in a full-time position;
• You will be working at a top-ranked university of applied sciences on a green, sustainable campus near the city centre of Breda, with cutting-edge and innovative projects and technology including Data Science, AI, XR equipment, and experience measurement labs;
• You will be working in an attractive and friendly working environment together with enthusiastic colleagues from the industry and students from around the world. The Academy for AI, Games & Media is very close-knit, and diversity and inclusion is rooted in our DNA;
• Working at BUas means always striving for ‘the plus’. BUas aims to be more than just a university of applied sciences, continuously focusing on developing and creating meaningful experiences;
• Moving from abroad to Breda in the Netherlands? We provide support and financial compensation for relocation and settling-in in the Netherlands. Dutch tax authorities may offer tax reduction to applicants from abroad (which makes tax rates comparable to the UK and US).

What do we ask of you?

• You have a master’s degree or PhD in Computer Science (or equivalent);
• You have extensive experience (at least 5 years) in Data Engineering Experience;
• You have experience building production-ready data processing systems as a Data Engineer;
• You have knowledge of continuous integration/deployment techniques;
• You have the ability to coach third-year students (of the AGM studies and other programs) to learn to work with domain specialists. You give them feedback on teamwork, project management, problem analysis, stakeholder management, change management, and ethical and legal issues;
• You have a positive and proactive attitude, with a team-oriented mindset and strong collaborative skills. You also have strong problem-solving skills with the ability to manage complex projects and foster collaboration;
• You preferably have experience as a lecturer, developer, manager, or consultant, and you are familiar with modern educational views;
• You have teaching experience or are willing to undertake didactic training;
• You will be working in an international and intercultural setting. Therefore, having excellent verbal and written communication skills in English is a necessity.

The application process

Please send us your application before 9 June 2025 via the online application form. Do you have any questions? Feel free to contact Frank Peters at peters.f@buas.nl for questions about the job itself, or recruitment@buas.nl for questions about the application process. You will receive a reply to your application no later than two weeks after the closing date.

The submission of a certificate of good conduct (in Dutch abbreviated to VOG) is a condition for commencing employment at BUas. We will initiate a request for this after the terms of employment meeting. Among candidates with equal qualifications and experience, preference will be given to the internal candidate.

More about us

Breda University of Applied Sciences (hereafter referred to as BUas) is a specialist, small-scale and international university of applied sciences. BUas offers bachelor's and master's degree programmes at both professional and academic levels, with expertise in closely interrelated fields: Tourism, Leisure & Events, Hotel & Facility, Logistics & Built Environment, Media & Creative Business, Games, and Data Science & AI. Our strength lies in the ability to connect these fields.

We aim to create added value in our education and research for our students, and therefore also for business and society. We provide our students with knowledge as well as ‘BUas Skills for Life’, empowering them to thrive in a constantly changing world and contribute to making it a better place. We encourage our employees to lead by example, fostering independence, collaboration and practical research that can be applied in real-world contexts.

We are curious about the world around us, considerate of each other, and committed to creating a healthy living and working environment for students and staff. This ethos defines how we operate on our campus. Within our inspiring learning community, we encourage each other to optimally develop our talents, combine knowledge and skills, and apply them in society in a sustainable manner. More information on our Applied Data Science & Artificial Intelligence programme on our website.