Data Platform Engineer – OpenLineage & Technical Metadata

Build and scale Rabobank’s Enterprise Data Lineage capability as a Data Platform Engineer. You develop automated, cloud-native metadata ingestion using OpenLineage standards and enable engineering teams to integrate reliable, standardized technical metadata across platforms in a complex international banking environment.

Build scalable metadata solutions that support automated lineage, helping thousands of engineers worldwide trust and understand enterprise data flows.

You & your role

Build and scale Rabobank’s Enterprise Data Lineage capability as a Data Platform Engineer. You develop automated, cloud-native metadata ingestion using OpenLineage standards and enable engineering teams to integrate reliable, standardized technical metadata across platforms in a complex international banking environment.

Examples from practice

• Scale the OpenLineage implementation by integrating metadata from applications, data services, and platforms across the analytical landscape.
• Build and evolve a technical metadata landing zone using open and interoperable metadata formats.
• Develop automated ingestion, transformation, and validation pipelines to remove manual onboarding for engineering teams.

Top 3 responsibilities

• Build scalable ingestion pipelines and reusable connectors that support automated technical metadata capture across multiple platforms and environments.
• Enable internal engineering teams with tooling, guidance, and hands-on support to accelerate metadata onboarding and improve lineage quality.
• Improve observability, resilience, and performance of metadata pipelines to ensure stable operations across enterprise-scale data platforms.

You contribute hands-on to the design and operation of OpenLineage-based metadata solutions, working closely with platform and application teams to strengthen enterprise-wide lineage adoption at scale.

You & your talent

• Experience in data engineering, platform engineering or metadata/lineage engineering within complex environments.
• Strong understanding of OpenLineage standards, event models and technical metadata capture patterns.
• Familiarity with open-source metadata technologies, schemas and interoperable metadata formats.
• Hands-on experience with modern data services and orchestrators (e.g., Spark, Airflow, Databricks).
• Experience with event streaming technologies such as Kafka.
• Ability to design, build and optimize automated ingestion pipelines and reusable metadata connectors.
• Strong problem-solving skills with the ability to collaborate across squads and platform teams.
• A mindset focused on automation, simplification and building scalable, reliable engineering solutions.
• Experience working in cloud-native architectures and CI/CD environments.