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

• 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

• 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)

Este anuncio proviene de indeed. Ver anuncio original ↗