Data Engineer

🔔 Data Engineer

💰 €75k - €100k + 5–25% annual bonus

📍 Amsterdam / Utrecht / Rotterdam

Most Data Engineering roles keep the lights on. This one helps decide billion-euro deals.

If you're a Data Engineer who wants real ownership, high-stakes technical challenges, and direct business impact, this is the kind of role that rarely comes to market. A leading boutique in data-driven financial due diligence is hiring a Data Engineer to help transform how M&A decisions are made.

Every year, their teams support 150+ acquisition investigations for private equity firms, investment funds, and corporates, using data, AI, and cloud technology to uncover what others miss.

This isn’t another “build pipelines and maintain dashboards” job.

This is your chance to sit at the core of a highly specialised Data Science function, building the infrastructure that powers live deal intelligence in one of the most intense environments in finance.

What makes this Data Engineer role different?

You’ll be:

✅ Designing cloud-native data architectures

✅ Building scalable pipelines from the ground up

✅ Developing tools that give analysts a decisive edge during live M&A negotiations

✅ Making real architectural decisions from day one

✅ Embedding AI into financial analysis workflows

You’ll also collaborate on a proprietary BI platform already used by leading investment firms across the Netherlands.

What the successful Data Engineer needs:

✔️ 3+ years in Data Engineering or Data Architecture.

✔️ Strong Python, SQL, and Azure expertise.

✔️ An entrepreneurial mindset and confidence working autonomously.

✔️ Fluency in Dutch and English.

🎁 What’s on offer:

💰 €75k - €100k + 5–25% annual bonus

📍 Amsterdam / Utrecht / Rotterdam

🏡 Hybrid working after onboarding (2–3 office days)

🏖️ 30 days holiday

🤝 High-performance, close-knit culture with genuine team energy

👤 Who they’re looking for

Plus something engineers genuinely value: the freedom to make the right technical decisions yourself.

Why this stands out for a Data Engineer:

🔍 Real complexity — every dataset, deal, and deadline is different

🤖 AI at the core — automation and intelligence built into workflows

🏛️ Unique domain — M&A due diligence is fast-moving, technical, and commercially critical

🛠️ Technical autonomy — shape the engineering direction, not just execute tickets

📈 Clear progression — senior engineering or technical leadership in a scaling business

💬 If you’re ready to build systems that influence major investment decisions, let’s talk.