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:
- 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)
