Data Engineer (Data Engineering Platform) – Maastrich (airport) – International Organisation

Duties & Role:

• 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

Skill, Knowledge & Experience:

• 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

• Excellent English (min. C1 level)

• Bachelor’s degree in:

• Computer Science / IT / Software Engineering (or equivalent)

• Strong experience delivering data pipelines in production environment

Desirable 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:
• 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)

Location: Maastrich (Near Site)