You are curious and like to take the initiative. Don't see your role listed? Tell us who you are and what you want to do, technical or not. Then we'll look together at what fits.
i-spark is small on purpose, partly because we like it that way, and partly because it lets us be the kind of place we set out to build. It leaves room to know the people around you, to do your work properly, and to have a real say in how your week goes.
You would be joining a team that cares about the work and about each other, and we would be glad to have you.
Day to day, you would work across a modern data stack: Snowflake, BigQuery, Databricks, dbt, git, and visualisation in tools like Power BI. Data preparation for AI runs through more and more of what we do, so that sits close to the centre.
What you already know counts for less than how you think and how curious you are. Tools can be picked up, and for juniors that is exactly how it tends to go. Bring a good mindset and a real appetite to figure things out, and we can teach you the rest.
We care more about how you work than who you are on paper.
Thinking from the client's side. You put yourself in the client's shoes and sense whether a fix is worth 2 hours or 2 days. Does the investment justify itself in cost, risk and time? You default to the option that makes sense for that client.
You're comfortable with client contact. Some direct client contact comes with the role, so being at ease in that setting matters.
An adjacent background is fine. You don't need a strict data background. Real interest in data counts for more than a data-specific résumé.
Dutch and English. You can hold a conversation in both.
Nice to have: interest or experience in data governance, security or privacy, things like data sovereignty, open versus closed AI models, or self-hosting decisions. 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.
Read moreYou are analyst, engineer and sparring partner to the client at the same time.
Read moreBuild something you're proud of, with honest feedback and room to learn.
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