Real-Time Data Engineer for Maritime & Defense

dotOcean; Town of Belgium (WI); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work options

Job summary

dotOcean, headquartered in Brugge with hubs in Gent and Leuven, Belgium, develops autonomous control and situational awareness tech for maritime and defense sectors. We seek a Data Engineer to design, build and maintain data pipelines powering real-time analytics and machine learning across edge and cloud platforms.

You will collaborate with data scientists, AI engineers and robotics experts, defining schemas, ensuring data quality and governance, and contributing to EDF-funded programs.

Qualifications

• Master's degree in Computer Science, Engineering, Mathematics or equivalent experience.
• Hands-on experience with ETL/ELT pipeline development.
• Working knowledge of streaming data technologies.
• Experience with relational and non-relational databases.
• Familiarity with metadata management and data lineage tools.
• Solid understanding of data security principles (RBAC, encryption, GDPR).
• Experience with distributed systems or data-centric architectures is a strong plus.
• Affinity with maritime, defense or autonomous systems is a plus.
• Strong communication skills; comfortable working in multi-disciplinary teams.

Responsibilities

• Design, implement and maintain ETL/ELT pipelines using tools like Apache Airflow, dbt or Apache Flink.
• Work with streaming data architectures to process real-time sensor and mission data.
• Build and maintain data pools, data lakes and warehouses.
• Implement data batching, buffering and orchestration logic for edge and cloud deployments.
• Define and maintain data schemas, data models and interface definitions with the data architect.
• Implement DDS (Data Distribution Service) based data-centric architectures for real-time interoperability.
• Ensure data semantics consistency across heterogeneous systems using ontologies and standards.
• Implement metadata management and data lineage tracking (DataHub, OpenMetadata).
• Define and enforce data access policies (RBAC, encryption, GDPR).
• Support data classification, data quality standards and retention strategies.
• Contribute to data governance deliverables and multi-partner data sharing agreements.
• Evaluate and select data tools and technologies with data architect and DevOps.
• Collaborate with data scientists and AI/robotics engineers to provide reliable data feeds.

Skills

ETL/ELT development

Streaming data technologies

Distributed systems

Data governance

Data security (RBAC, encryption, GDPR)

Data modeling

Communication in multidisciplinary env

Education

Master's degree in CS/Engineering/Math

Tools

Apache Airflow

dbt

Apache Flink

Job description

dotOcean, headquartered in Brugge with hubs in Gent and Leuven, Belgium, develops autonomous control and situational awareness tech for maritime and defense sectors. We seek a Data Engineer to design, build and maintain data pipelines powering real-time analytics and machine learning across edge and cloud platforms.

You will collaborate with data scientists, AI engineers and robotics experts, defining schemas, ensuring data quality and governance, and contributing to EDF-funded programs.