Consultant Data & Digitalisation

In a factory there is data everywhere: in machines, in planning, in quality control, in the ERP. Rarely in a place where someone can take a decision with it in the morning. That is what we solve, and what you are going to build.

Leeuwarden
· Hybrid 32–40 hours At least 2 years of experience € 4,500 – € 5,500 gross per month

Long-term partner Our own IoT hardware & software Technical and business insight

At VDS Automation we help companies in the manufacturing industry work smarter with data and technology. As Consultant Data & Digitalisation you build those solutions. Data platforms and dashboards, but just as much apps and automations that people on the shop floor or in the office use every day. You come in at the customer, you talk to the people who work there and you see straight away what your work delivers.

You are responsible for your own customers and projects, from first conversation to working solution. Think of:

• Working out how a production process runs and what data comes out of it.
• Unlocking and modelling data sources in Microsoft Fabric
  .
• Building dashboards in Power BI that a production manager actually steers on.
• Analysing machine data in real time
  : seeing what a line is doing right now, not what it did last week.
• Building applications that replace a manual process. A registration form on the shop floor, a tool for quality control, a planning aid.
• Smart automation
  : reports, integrations and recurring manual work that from now on runs by itself.
• Working with tools including Power BI, Microsoft Fabric, SQL and Python
  .
• Taking customers along in what is possible. Not with a sales talk, but by showing something that works.

We build AI-first. AI writes the first version, you decide whether it is good enough. You read the code, test it and adjust it. AI is a tool, not a colleague you take at their word.

That means you build real solutions here faster than you are used to. And what you have built counts for more than your job title.

You are not on your own. Experienced colleagues review your work and there are technical guidelines to fall back on.

New tools follow one another quickly. You have to enjoy that pace. You also get the room to propose yourself what we try next.

No two weeks are the same, but you will recognise this rhythm. Most customers are in the north and east of the Netherlands, so travel time is manageable.

Monday

Build day. Setting up a data model in Fabric, working out a report in Power BI, having a colleague look it over before it goes to the customer.

Thursday

Demo and implementation support: explaining, adjusting and making sure the people who work with it actually use it.

Friday

Room to learn: a Udemy course, working on a Microsoft certification or trying something new. Rounding off with drinks.

Examples from the work we do for companies in the manufacturing and process industries. You usually run two to four projects at once, in different phases.

Reading machine data in real time, recording downtime reasons and making OEE per shift visible. The gain rarely lies in the technology, but in the conversation about what counts as a breakdown and who records it.

Setting up submetering, linking consumption to production orders and mapping peak load. Directly usable for the Dutch energy-saving obligation and conversations about grid congestion.

An app with which the floor records checks, rejects or batch data, linked to the existing system landscape. Designed for gloves and haste.

A customer question that AI might solve. You find out whether it helps,…