Senior Data Engineer

Added
8 days ago
Type
Full time
Salary
Salary not provided

Related skills

azure aws gcp kafka spark
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πŸ“‹ Description

  • Lead client engagements and co-design data engineering solutions
  • Build robust, scalable data pipelines and architectures for structured and unstructured data
  • Design and implement cloud and distributed computing solutions (AWS, Azure, GCP, Spark, Kafka)
  • Develop logical and physical data models and optimize databases (relational, NoSQL, time-series
  • Implement batch, streaming, and real-time data integration patterns
  • Enable CI/CD and DataOps practices for data services and infrastructure

🎯 Requirements

  • Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science
  • 3-6 years of relevant professional experience (or equivalent academic research)
  • Strong analytical mindset with systematic problem-solving abilities
  • Fast learner with strong communication skills, adaptability, and entrepreneurial drive
  • Fluency in English; Dutch or French fluency is a must
  • Proven interest in Data Engineering and sectors such as Energy and Finance

🎁 Benefits

  • Competitive salary package including annual salary increase, bonuses, and flexible mobility options
  • Tailored training and development opportunities
  • Flexible working arrangements (office, home, client sites) and international project exposure
  • Collaborative global environment fostering professional growth and knowledge sharing
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