TrendMiner is the name of both our company and the data analytics platform we develop. Founded in 2008 as a spin-off from the University of Leuven, TrendMiner specializes in providing process experts with the data analytics capabilities they need to efficiently analyze, monitor, report on, and eventually improve their production processes. TrendMiner pulls in live and historic process data (time series sensor data, event data, …) and then provides the user a toolbox of advanced yet intuitive functionalities for data processing, reporting, root cause analysis, dashboarding, monitoring, collaboration and more. Since 2024, TrendMiner is part of the Vercore group, which specializes in industrial analytics.
We are always interested in connecting with talented Process Analytics Engineers (gn) who want to help our customers get real value from process data. There's no open position for this role just yet - we're building a talent pool of qualified candidates so we can move quickly once hiring starts. We review applications on an ongoing basis and will reach out as soon as a matching opportunity opens up.
This is a hybrid role. We especially welcome applications from candidates based in or near Hasselt (Belgium) or Barcelona (Spain).
In return, we offer you
Build something that matters. Join an innovative company that’s growing fast, and grow right along with it.
Work with great people. Be part of a talented, ambitious team that collaborates across countries and cultures.
Stay ahead of the curve. Explore, learn, and experiment with cutting-edge technologies every day.
Make your mark. Your ideas count here: Help shape our technology choices, pitch new features, and see your impact firsthand.
We’ve got you covered. Competitive salary package, with fringe benefits depending on country of residence
Your Role
Through an affinity with technology and special interest in data analytics, you quickly gain a deep understanding of our platform to serve as a functional expert to our client
You implement and roll out scaled analytics solutions on top of TrendMiner. This will involve the use of core TrendMiner capabilities while also leveraging Python. These custom packages offer additional functionalities specific to the needs of our client's different business units, and are built working together with the client's process experts.
You work on developing data models and integrating different data sources and applications (process historians, relational databases, BI tools, etc.) with the TrendMiner platform.
You train the client's process experts on how to use the solution packages, and the TrendMiner platform in general.
You take the lead on your own projects, working proactively with contacts across the client organisation to keep them moving.
You build up intimate knowledge of how this customer uses TrendMiner to achieve value, which enables you to serve as the voice of the customer within our company, helping direct further product development.
You will be part of the Customer Success team within TrendMiner, but will be dedicated to a client full-time. Given their global presence, occasional travel to production sites may be required. Your mission will be to ensure our client gets a high return on their investment in the TrendMiner platform.
Your Skills
Degree in a relevant Engineering discipline (Process Technology, Chemical Engineering, Mechanical Engineering, Biotechnology, Computer Science, …)
Solid Python experience, including structuring code into reusable, distributable packages
Experience in the process industry, allowing you to work effectively alongside the client's own process experts
Affinity with analytics and data science
Experience in Food & Beverage industry is a big plus
Experience with AI-assisted development tools is a plus
Proactive and independent way of working, capable of driving progress across a large organization
Good verbal and written communication skills
Fluent in English
Proficiency in French, German, Spanish or Dutch is a plus
Apply now!
If this opportunity sounds like a great fit, we'd love to hear from you. Submit your application and we'll review your profile as part of our regular talent reviews.
If your experience aligns with what we're looking for, we'll invite you to join our Talent Pool. At that stage, we'll provide all relevant information about how your data will be stored, how long it will be retained, and ask for your consent.
When a suitable position becomes available, we'll proactively reach out to you and, if you're still interested, invite you to begin our hiring process.
We look forward to connecting with you!
Engineering
Analytics
German
French
Pay
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