You are analyst, engineer and sparring partner to the client at the same time. You find out what the client really needs, decide which solution fits and lead the project from start to finish.
Someone with broad expertise across the data landscape, whose credibility with clients comes from genuinely knowing the work.
You'd fill a real gap on the team, working close to clients and close to where i-spark is heading.
An adjacent background is fine. We're open to people from adjacent fields like IT or business economics, as long as the affinity and capability for data work is there.
Dutch and English. You can hold a conversation in both.
HBO or WO level. A relevant field of study is preferred. A different background works too when it comes with genuine interest in data and IT, through self-study, side projects or courses.
Nice to have: interest or experience in data governance, security or privacy. A plus, not a requirement.
On Tuesdays we're together at the office, the rest of the week you work remotely. Early bird, night owl, picking the kids up from school at 3 pm: you work your hours when it suits you.
Three pillars, nine values. Integrity, transparency and responsibility. Craftsmanship, dedication and reliability. Harmony, empathy and wellbeing.
Including Snowflake, BigQuery, Databricks, dbt, git, Power BI, Looker and Claude.
On Tuesdays we're together at the office, the rest of the week you work remotely. You work your contract hours, but when and how you do that is up to you. Early bird, night owl, picking the kids up from school at 3 pm: we don't mind. And working from abroad for a few weeks now and then? No problem either.
We don't have heavy commercial targets. We'd rather do work that's worth doing, and do it well.
I was 23 when I was first seconded and someone charged an hourly rate for me.
And when I had a cold, I was torn. Stay home, and you let your employer down. Go to work, and your client doesn't get the full hundred percent. So what's fair?
I promised myself back then that I would never pass that on as an employer.
With us, anyone can always book hours as internal or lost if they feel they weren't productive for whatever reason, or if they made a mistake. You won't get any grief from me about that. Mistakes are human, and as far as I'm concerned the client doesn't have to pay for them.
i-spark is a data and AI consultancy from the northern Netherlands.
We're a team of about ten people and in the long run we want to grow to 25 at most. You work with everyone. On Tuesday mornings the whole team discusses the questions of the moment. Beyond that, you talk to colleagues on Slack, on the phone or during a walk.
Tamara, the founder, does hands-on work herself and has regular one-on-ones with everyone. So you can always go to her.
You get onboarded, but you'll stand on your own feet fairly quickly. And if the printer breaks, there's no IT department to file a ticket with: you try to fix it yourself first. You have to enjoy that.
We work from an ethical framework of nine values that we wrote ourselves. It rests on three pillars: doing what is right, practising our craft well and treating people as people. In practice that means being open about the choices we make, delivering reliable work and looking after each other's wellbeing, including when it comes to work pace and rest. That's why we sometimes say no to an assignment, and sometimes yes to one that earns less.
Our office is a separate building attached to Tamara's house, with its own front door, a kitchen and two floors of workspaces. On Tuesdays everyone is there.
Most people arrive between 9 and 10; the early birds are in by 8.
The whole team discusses open questions.
At the kitchen table in Tamara's house. That lunch is usually made by Tamara's mother.
We often walk as a team too, or one-on-one with Tamara: as a check-in, to brainstorm or just to catch up.
Everyone heads home.
You build and maintain the data pipelines the rest of the team relies on.
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