Senior Data Engineer H/F/X

Description de l'entreprise

At Cegeka, we believe in shaping digital together. We don't just deliver technology - we work shoulder to shoulder with our clients to design, build and run resilient digital solutions that drive impact where and when it matters most. Our broad portfolio spans application services, business solutions, quality engineering, data & AI, digital workplaces, cyber resilience, networking & regulatory services, and hybrid cloud. With a strong focus on craftsmanship, we expertly manage legacy systems while accelerating modernization and innovation. Cegeka has a global presence with offices across 17 countries, including the Benelux region, Germany, Austria, France, Italy, Sweden, Denmark, Greece, Romania, Moldova, the United Kingdom, Canada, Colombia, the United States, and India. With over 10,000 employees, the company achieved a consolidated revenue of EUR1.3 billion in 2024. Cegeka operates 10 high-tech data centers and 3 Security Operations Centers (SOCs) across strategic locations in Europe and the United States - including the Benelux, Italy, Romania, and the U.S. - ensuring 24/7 performance, security, and business continuity. Founded in 1992 by André Knaepen - who currently serves as chairman of the board - Cegeka is a family-owned company headquartered in Hasselt, Belgium.

Description de la fonction

 
Are you an experienced Data Engineer ready to help shape and scale a modern data ecosystem built on Microsoft Fabric, Azure and advanced analytics platforms?
 
We are currently looking for a Senior Data Engineer / Data Engineering Lead to help build and scale a modern data ecosystem for one of Belgium's leading healthcare organizations.
 

What you'll be doing

 

• Designing, building and maintaining robust data pipelines and integrations
• Developing scalable Data Lake, Data Warehouse and Data Mart solutions
• Implementing data quality, monitoring and observability practices
• Supporting BI, Analytics and Data Science teams with trusted datasets
• Driving data engineering standards, best practices and architecture decisions
• Coaching and mentoring teams while contributing to the long-term data roadmap

 

What we're looking for

 

• 5+ years of experience as a Data Engineer
• Strong SQL and Python expertise
• Experience with Spark, Hive or similar Big Data technologies
• Strong knowledge of Azure Data Services and/or AWS
• Experience with Microsoft Fabric, Synapse, Data Factory or equivalent platforms
• Experience with ETL/ELT processes and cloud-based data architectures
• Understanding of Data Quality, CI/CD and DevOps principles for data platforms
• English proficiency (mandatory)
• Dutch and/or French is considered a strong asset

 

Nice to have

 

• Databricks
• Power BI
• Data Vault & Dimensional Modelling (Star Schema)
• Data Governance & Data Contracts

 

Compétences linguistiques

• Anglais (atout)

  • Comprendre : Expérimenté - (C1)
  • Écrire : Expérimenté - (C1)
  • Lire : Expérimenté - (C1)
  • Parler : Expérimenté - (C1)

• Français (atout)

  • Comprendre : Indépendant - (B1)
  • Écrire : Indépendant - (B1)
  • Lire : Indépendant - (B1)
  • Parler : Indépendant - (B1)

• Néérlandais (atout)

  • Comprendre : Indépendant - (B1)
  • Écrire : Indépendant - (B1)
  • Lire : Indépendant - (B1)
  • Parler : Indépendant - (B1)

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