machine learning & data analytics engineer

Who are we looking for?

At Vintecc, we are looking for a driven Machine Learning & Data Analytics Engineer to join our dynamic IoT and Data Analytics team.

Your role

As a Machine Learning & Data Analytics Engineer, you will bring the valuable insights from data to the table. You will help improve operational efficiency, minimise downtime and maximise the value of data for our customers.

You will be part of a young, technically strong team within an innovative and fast-growing SME. At our company, collaboration and team spirit are central in a horizontal structure, where everyone works towards a common goal. We give our employees the autonomy, trust and support they need to fully develop their talents. Innovative thinking, a hands-on mentality, collaboration and creativity are at the heart of our corporate culture.

Your responsibilities

1. Data analysis and insight generation: You will dive deep into data to discover improvement opportunities and find potential applications. Your focus is on discovering value in data through advanced analytics. One of the tasks is to implement - in a robust way - the algorithms with a generic approach. So your focus is also on deployment, not just the theoretical.
2. Process optimisation: Once you have found valuable insights, you work on optimising existing processes. You develop and implement strategies to make suboptimal processes more effective using advanced techniques such as machine learning.
3. Predictive maintenance and fault detection: You will apply machine learning techniques to develop models that can automatically detect and predict faults. This includes modelling timeseries data to identify potential problems and take proactive measures.
4. Software development and application design: You have an affinity for software development, especially for industrial applications. You design robust and future-proof applications that integrate seamlessly with data analytics and machine learning.
5. Growth mindset: You play an active role in shaping the growing Data Analytics team. This includes defining standards, identifying new technologies and sharing best practices within the team.

It would be great if you have the following qualifications

• Master’s degree in Mathematics, Physics, Computer Science, or Engineering
• Affinity with software development is a must.
• Knowledge about optimizations, anomaly detection and/or machine learning
• Programming skills:
  • Python (must)
  • C# (nice to have)
  • NodeJs (nice)
• Tools & Industrial protocols (nice to have)
  • Redis
  • MQTT
  • Docker
  • Kubernetess
  • Datalakes & analytics tools
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• You actively follow the latest developments within your field.
• Dutch is mandatory.

Why you should apply

At Vintecc, you become part of an innovative and growing company where our PANTHER values are central: Positive mindset, Authentic, No-nonsense, Team-oriented, Hands-On, Excellence, and Respectful. Together, we form a team striving for impact and growth—both for our customers and ourselves.

Our colleagues choose Vintecc because we…

• … are forward-thinking: You work on high-end custom projects that bring variety and challenges.
• … offer an informal work environment: Hard work goes hand in hand with fun.
• … grow and learn together: In a young, dynamic team, we support each other both professionally and personally.
• … always stay up to date: You get the opportunity to work with the latest technologies and market developments.
• … value your input: Take responsibility in an environment where your contributions can truly make a difference.
• … enable flexible working: Flexible hours, remote work, and freely chosen vacation days (32 days) ensure a healthy work-life balance.
• … are easily accessible: Our brand-new office in Roeselare is easy to reach, and you can also work from Ghent, Leuven, or home.
• … offer a competitive salary package: Including a company car with fuel card, laptop, mobile phone, hospitalization insurance, meal and eco vouchers, and after six months, access to a cafeteria plan.