Data engineer

Crunch Analytics; Gent; Sur place; EUR 60 000 - 90 000; Plein temps

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Résumé du poste

Crunch Analytics is seeking a Medior Data Engineer to design and build the data layer that clients rely on, integrating ERPs, WMS, and planning tools into a governed lakehouse. You will own your platform slice end to end and mentor juniors as part of a collaborative data team.

You’ll work across Azure and Databricks, develop robust ELT pipelines with dbt and SQL, and assist clients with architecture decisions while ensuring reliability and cost efficiency.

Qualifications

• 2 to 5 years of hands‑on experience building data pipelines or platforms.
• Strong command of SQL and Python.
• Hands‑on experience with dbt or a similar transformation framework.
• Experience with a modern cloud data platform (Databricks, Azure data services, or comparable).
• Solid grasp of data modeling, and opinions on when a star schema is the answer and when it isn't.
• The ability to explain a technical choice to someone who has never heard of a lakehouse.
• You are fluent in English.

Responsabilités

• Design and build data platforms on Azure and Databricks, from architecture to go‑live.
• Build clean, tested ELT pipelines with dbt, SQL, and Python.
• Integrate the systems where the real data lives: ERPs, WMS, planning and forecasting tools, e‑commerce platforms.
• Design data models that serve dashboards, data science, and conversational AI alike.
• Keep platforms reliable, monitored, and cost‑efficient. Cloud bills are part of the design, not a surprise.
• Coach our junior engineers through pairing and code review that actually teaches.
• Work side by side with our data scientists, BI developers, and AI engineers so the full chain delivers.
• Advise clients on architecture choices, and push back when the easy option is the wrong one.

Description du poste

Are you a data engineer who believes a pipeline should be boring, so that everything built on top of it can be exciting?

Crunch builds the data-driven companies of tomorrow. Forecasts, pricing engines, AI agents: every one of them stands or falls on the data underneath. We are looking for the person who builds that foundation so well that nobody ever has to think about it again.

That means treating reliability, modeling, and cost-efficiency as a craft, not a chore.

As a Medior Data Engineer, you design and build the data layer our clients run their business on. Mid-market manufacturers, retailers, and supply chain companies with data scattered across ERPs, planning tools, and spreadsheets that have long overstayed their welcome. You bring it together in one clean, governed lakehouse, and you model it so both a planner and an AI agent can make sense of it. You own your slice of the platform end to end, and you're the person a junior taps on the shoulder when they're stuck.

In your role, you combine an engineer's rigor with a consultant's curiosity: you want to know why the business needs this table before you build it.

What will be part of your responsibilities?

• Design and build data platforms on Azure and Databricks, from architecture to go-live;
• Build clean, tested ELT pipelines with dbt, SQL, and Python;
• Integrate the systems where the real data lives: ERPs, WMS, planning and forecasting tools, e-commerce platforms;
• Design data models that serve dashboards, data science, and conversational AI alike;
• Keep platforms reliable, monitored, and cost-efficient. Cloud bills are part of the design, not a surprise;
• Coach our junior engineers through pairing and code review that actually teaches;
• Work side by side with our data scientists, BI developers, and AI engineers so the full chain delivers;
• Advise clients on architecture choices, and push back when the easy option is the wrong one.

Our offer

First off, you will become part of a steadily growing team of people keen on applying the latest technologies and techniques in the fields of data science, machine learning & AI. You will work in a vibrant, innovation-loving environment with the proper dash of geekiness and love for board games.

While you will be able to work both at the office (in Gent or in Rotterdam) or at home, your presence might also be required on-site with clients. Our offices in Ghent and Rotterdam are easy to reach, located in a colorful neighborhood of each city center, close to a vast array of after‑work shenanigans.

We provide an attractive salary package stuffed with additional benefits such as an (optional) company car & fuel card, smartphone, and other gear. We help you to get around either by car, train, and/or e‑bike. It's yours to choose.

We put a lot of time and effort into your personal growth and development, both as a technician and business professional. We provide dedicated feedback and coaching sessions to help you walk the career path you envisage. Expect your own talent development roadmap and the opportunity to showcase your knowledge to a broader engineering community.

On top of that, we do team trips, planned events, ad‑hoc events, anything really to ensure you shine within a thriving team.

Required Skills

• 2 to 5 years of hands‑on experience building data pipelines or platforms;
• Strong command of SQL and Python;
• Hands‑on experience with dbt or a similar transformation framework;
• Experience with a modern cloud data platform (Databricks, Azure data services, or comparable);
• Solid grasp of data modeling, and opinions on when a star schema is the answer and when it isn't;
• The ability to explain a technical choice to someone who has never heard of a lakehouse;
• You are fluent in English.

Preferred Skills

• Databricks certifications, or the ambition to get them (we'll back you);
• Experience extracting data from ERP systems (SAP, Business Central, NetSuite, Odoo...);
• CI/CD, Terraform, or other infrastructure‑as‑code experience;
• Experience in a consultancy or client‑facing environment;
• Speaking Dutch is a definite plus. French is also nice to have.

Above all, you take pride in work that just runs. Quietly. Every night. While everyone else gets to look good on top of it.