Data Engineer

at  Golden Palace Casino Sports

Brussels, Région de Bruxelles-Capitale - Brussels Hoofdstedelijk Gewest, Belgium -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate16 Dec, 2024Not Specified22 Sep, 2024N/APython,Communication Skills,Data Modeling,Sql,French,AzureNoNo
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Description:

OUR COMPANY

The Golden Palace Group, a family-owned business established in 1963, stands as an undisputed reference in the gaming world. With over 40 gaming halls in Belgium, 2 casinos in France, 7 sports betting agencies, a network of Press shops (Press Shop & More), 3 online gaming sites, and 600 employees, we’ve built a remarkable presence.
Each of our team members contributes to crafting a unique experience for our customers, where innovation, service quality, and passion come together.
The result of a 100% Belgian success story, we are more than just a company; we are a dynamic community where talent, daring, creativity, and ambition thrive.
The love of sports and the joy of gaming are our guiding principles, leading us towards the next chapter in our long history, of which every team member can be proud.
Moreover, Golden Palace places special emphasis on its CSR (Corporate Social Responsibility) policy. As an engaged local actor, our Group actively participates in numerous charitable actions, supporting local associations or sports clubs that we sponsor (Football, Basketball, Cycling, and more).
So, are you ready to step into the captivating world of Golden Palace? Let the fun begin!

Responsibilities:

WHAT YOU DO

Join our team as a Data Engineer!
Are you passionate about data engineering and ready to tackle innovative challenges?
As a Data Engineer, your primary mission is to design, develop, and maintain a high-performance data platform that extracts, transforms, and delivers data to meet the company’s operational and innovative needs.

RESPONSIBILITIES WILL INCLUDE:

  • Data Analysis and Management: Collaborate with business departments to analyze and document their data needs, ensuring data availability and integrity on the platform.
  • Technical Solutions Development: Design and implement technical solutions for data flows using tools like Data Bricks, Data Factory, and Data Lake House under Azure.
  • Reporting and Analysis Development: Create use cases for reporting on the data platform, transforming and providing data for operational teams through Power BI.
  • Platform Configuration and Maintenance: Ensure the stability, performance, and scalability of the data platform, including budget management in Azure.
  • Innovation and Best Practices: Propose new data-driven ideas, implement best practices using Git, DevOps, CI/CD, and ensure GDPR compliance.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

Brussels, Belgium