Data Pipeline Engineer

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• Documenting, configuring and testing the ETL requirements: source-to-target mapping, traceability and data reconciliation
• Building data models, pipelines and schemas for data coming from many different sources
• Putting configuration control in place: baselines, versioning, change approval and rollback
• Setting up monitoring with metrics, alerts, dashboards and logging
• Designing and testing resilience: backup and restore, failover, recovery time and point objectives
• Troubleshooting production data flows, and handing over through a training package and on-the-job training for the administrators

• Hands-on experience with modern ETL tools such as Apache NiFi, Informatica, Talend or SSIS, ideally on AWS or Azure
• Data modelling and transformation from heterogeneous sources
• Experience with data sharing platforms, object stores and relational, NoSQL, graph and vector databases
• Comfort on the Linux command line and a knack for fixing data anomalies
• Experience delivering against fixed, deliverable-based contracts in multinational teams
• Familiarity with NATO intelligence and surveillance architecture and applications, and fluent business English