20 beste vacatures voor de functie van ml in waterloo (nieuwe medewerkers gezocht)

Junior Data Engineer
Golden Palace —Brussel
- Computerwetenschappen
- Azure
- Informatica
4 dagen
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- Voltijds
- Hybride werken
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- Azure
- Informatica
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- Azure
- Informatica
Senior OMP Consultant
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- Voltijds
- Oracle
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Data & AI Engineer
COSMOTE GLOBAL SOLUTIONS NV —Brussel
- Azure
- DevOps
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Consultant Data Engineer
Sia —Brussel
- Voltijds
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- Azure
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Product Manager
Corilus —Machelen
- Hybride werken
- Master
- Productmanagement
- Artificiële intelligentie
AI Large Language Model (LLM) Engineer
Accenture —Brussel
- Voltijds
- Computerwetenschappen
- Informatica
- Master
Senior Python Developer
Devoteam Belgium —Machelen
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- Azure
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AI Sales Manager
Atos —Zaventem
- Computerwetenschappen
- Azure
- Verkoopervaring
- Tankkaart
- Levensverzekering
14 dagen
Data/AI Engineer - Data Platform & Analytics
SquareDev —Brussel
- Voltijds
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AI Project Manager - Financial Services
EY —Diegem
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Christelijke Mutualiteit —Schaarbeek
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AI Systems Engineer
SAGACIFY —Bruxelles Woluwe-Saint-Pierre
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Software Engineer (Textile Composite Modeling)
Cadence Design Systems —Mont-Saint-Guibert
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AI Strategy Lead
Degroof Petercam —Bruxelles Etterbeek
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- Informatica
- Master
AI Architect
Sopra Steria —Brussel
- Voltijds
- Azure
- Master
- AWS
Snel solliciteren

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Junior Data Engineer

Golden Palace -
Brussel

Nu solliciteren

Vacaturegegevens

Vaste Jobs
4 dagen geleden

Extralegale voordelen

Internetvergoeding
Elektronische maaltijdcheques
Hospitalisatieverzekering
Bedrijfscomputer

Kwalificaties

Frans
CI/CD
Computerwetenschappen
Power BI
Azure
Informatica
Spark
Git
Geen ervaring nodig
SQL
Python

Volledige vacaturetekst

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.

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ml vacatures in waterloo

Junior Data Engineer

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Data Engineer

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Data & AI Engineer

Consultant Data Engineer

Product Manager

AI Large Language Model (LLM) Engineer

Senior Python Developer

AI Sales Manager

Data/AI Engineer - Data Platform & Analytics

AI Project Manager - Financial Services

Python Engineer / Test Automation Specialist

AI Systems Engineer

Software Engineer (Textile Composite Modeling)

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Ik wil de nieuwste vacature-alerts ontvangen voor de functie van ml in waterloo

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