Senior Data Engineer – Maastricht, NL

Project Overview

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The consultant will support the development and operation of a Data Engineering Platform in a safety‑critical and business‑critical environment.

The role focuses on building, maintaining, and optimizing scalable data pipelines, ensuring data quality, and enabling efficient data processing for analytical use cases.

Key Responsibilities

• 
  
• Design, build, and maintain data pipelines (batch and streaming)
  
• Develop and manage data transformation and modeling workflows
  
• Deploy and maintain production-grade data solutions
  
• Work with distributed data processing platforms (e.g., Databricks)
  
• Ensure data quality, reliability, and performance optimization
  
• Collaborate with stakeholders to translate business needs into technical solutions
  
• Support data platform architecture evolution (lakehouse / warehouse)
  
• Monitor pipelines and troubleshoot bottlenecks or failures
  
• Ensure compliance with data governance, security, and confidentiality policies
  
• Document solutions and communicate clearly with technical and non‑technical stakeholders
  

Requirements
Mandatory

• 
  
• Minimum 5 years of experience in data engineering
  
• Strong experience in:
  • 
    
  • Python
    
  • SQL
    
  • PySpark
    
  
  
• Minimum 3 years of experience with dbt (data build tool) including:
  • 
    
  • Data transformation
    
  • Data modeling
    
  • Testing
    
  • Deployment in production
    
  
  
• Minimum 3 years of experience with Databricks or similar distributed processing platforms
  
• Computer Science / IT / Software Engineering (or equivalent)
  
• Strong experience delivering data pipelines in production environments
  

Optional / Advantageous Skills

• 
  
• Experience with Oracle databases and dbt adapters (e.g., dbt-oracle)
  
• Experience designing data warehouses / lakehouses (Snowflake, BigQuery, Delta Lake)
  
• Experience with Kafka / Kafka Connect (streaming pipelines, real‑time ingestion)
  
• Experience with orchestration tools:
  • xgiwjmb
    
  • Apache Airflow
    
  • Databricks Workflows
    
  
  
• Experience with Infrastructure as Code (Terraform, Pulumi)
  
• Experience with cloud platforms:
  • 
    
  • Azure
    
  • AWS
    
  • GCP
    
  
  
• Knowledge of data governance and metadata tools (e.g., Collibra)
  
• Ability to translate complex data concepts into business-friendly language
  
• Strong problem-solving and analytical thinking
  
• Proactive and self-driven approach to resolving issues
  
• Ability to work in changing priorities and complex environments
  
• Strong team collaboration skills
  
• High attention to data protection and confidentiality