Golden Palace is a licensed iGaming operator in Belgium and France. Our data platform powers reporting, player analytics, CRM activation, and responsible-gaming monitoring, all built on sensitive, regulated player data where auditability and correctness are not optional.

Today the platform is run end-to-end by a single data engineer. We're adding a Junior Data Engineer to work directly alongside them: you'll take ownership of building the day-to-day data pipelines and reporting models. It's a chance to learn a modern, production-grade data stack, in an environment where doing things properly actually matters.

This is a hands-on building role. You will not be thrown in alone, your work is reviewed, you'll follow established patterns, and you'll grow into more independence over time.

What you'll do

• Extend source ingestion into the platform, following our established patterns (adding new sources and feeds from our systems).

• Build and maintain transformation logic across our medallion architecture, turning raw bronze data into clean silver and business-ready gold tables/views in Databricks.

• Update and maintain Power BI semantic models so business teams get reliable, well-modelled data to work from.

• Clarify requirements with business stakeholders.

• Work within our engineering practices from day one: Git, branching, pull requests, and CI/CD, you'll learn these on the job, not bring them.

• Apply and respect our data quality and governance rules.

What we're looking for

• Solid SQL and working Python: you can read and write both comfortably.

• Genuinely curious about data, and careful with it, you double-check your numbers.

• Comfortable talking to non-technical colleagues about what they actually need.

• Fluent in French and English (business-facing in both Belgium and France).

• A degree in Computer Science, Engineering, Business Engineering, or equivalent ; or the equivalent self-taught ability to do the above.

• This is a junior role. No professional experience required; internships, personal projects, or thesis work in data all count. What matters is the SQL/Python foundation and the willingness to learn our way of working.

Nice-to-haves (any of these is a plus, none is required)

• Exposure to Databricks, Spark/PySpark, or Delta Lake.

• Experience with Power BI (or another BI tool with data modelling: dimensional modelling, DAX).

• Any hands-on time with a cloud platform (we run on Azure).

• Familiarity with Git and version control.

• Interest in ML/recommendation systems, or in the gaming industry.

What you’ll learn:

• A full modern data stack (Databricks, Delta, Power BI, Azure).

• Real ownership early, in a small team where your work ships to the business every week.

• A regulated environment that takes data quality and governance seriously, you'll build good habits from the start.

• Room to grow as the data function grows.

What we offer

• A full-time permanent contract (39h/week) with 29 days of paid leave.

• An attractive salary package including a wide range of extra-legal benefits:

  • Meal vouchers, group & hospitalization insurance, company laptop, contribution to internet costs, reimbursement of transportation expenses and a 13th month

• Up to 2 days of remote work per week (after the onboarding period).

• Training and personalized support to help you grow and succeed.

• A stimulating, supportive and dynamic work environment.

• A workplace where your voice, ideas and talent truly matter.

Our values: PARC

At Golden Palace, we don’t play with values. They guide every action, every idea and every interaction:

• Passion – for what we do, with heart and energy.

• Audacity – to dare, innovate and think outside the box.

• Respect – for our colleagues, customers and partners.

• Connection – with our teams, our challenges and the field.

If you recognize yourself in these values, you’re in the right place.