Experteer Overview
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In this role you will build a scalable data foundation to understand health, performance, reliability, and intervention history of GE Vernova's global Solar and Storage fleet. You will connect telemetry, maintenance, configurations, and investigation findings into engineering datasets to support reliability analysis and predictive analytics. You collaborate with cross-functional teams to transform fragmented fleet information into durable engineering intelligence. This position blends data engineering with industrial asset and reliability know-how, offering measurable impact on fleet performance. You will work on a mission-critical data platform that enables engineering decisions and root-ca
Compensaciones / Beneficios
• Design, build, and maintain scalable data pipelines ingesting telemetry, alarms, maintenance records, field interventions, configurations, software versions, and engineering findings
• Develop and maintain a standardized fleet asset model and hierarchy with sites, systems, equipment, components, serial numbers, and relationships
• Establish traceability for interventions, replacements, repairs, configuration changes, and lifecycle events
• Create curated reliability datasets for RCA, failure trends, fleet exposure, performance monitoring, and corrective-action validation
• Link operational events and alarms with maintenance, failure records, product configuration, environment, and investigation outcomes




• Define and implement data-quality rules for completeness, accuracy, timeliness, lineage, and contextual integrity
• Build automated controls to identify missing data, invalid timestamps, duplicate interventions, and broken data relationships
• Partner with Reliability u0026 RCA engineers to structure investigation data and preserve reusable evidence from RCAs
• Partner with Data Analytics u0026 AI engineers to deliver governed, analysis-ready data products for dashboards, anomaly detection, and predictive models
• Develop fleet master-data standards, taxonomies, and metadata for consistent fleet-level analysis
• Integrate data from historians, SCADA, remote-monitoring platforms, service-management systems, and engineering databases
• Create APIs, data services, semantic layers, and governed access patterns for efficient data use
• Maintain data lineage, source-to-target mappings, interface specs, transformation logic, ownership, and documentation
• Implement monitoring and alerting for data-pipeline health, ingestion failures, schema changes, latency, and data-quality degradation
• Support migration and harmonization of historical fleet data while preserving context and auditability
• Collaborate with cybersecurity, data-governance,



and platform teams on access control, retention, privacy, backup, and lifecycle management
• Automate repetitive data preparation, reconciliation, event correlation, and reliability reporting to boost productivity
• Communicate data limitations, quality risks, dependencies, and remediation priorities to engineering and leadership
• Promote data ownership, traceability, technical rigor, collaboration, and continuous improvement across the organization
Responsabilidades
• xqbhyrx Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Electrical Engineering, Systems Engineering, Control Systems Engineering, or a related technical field
• Minimum of 8 years of experience in data engineering, industrial data systems, reliability data, or related functions
• Strong proficiency in SQL and Python for data ingestion, transformation, validation, and data product development
• Experience designing and operating ETL/ELT pipelines from multiple structured, semi-structured, and time-series sources
• Experience with data modeling, relational databases, schemas, APIs, version control, testing, and production support
• Experience implementing data-quality validation, lineage, monitoring, reconciliation, and traceability controls
• Ability to translate engineering and reliability requirements into scalable data structures and reusable data products
• Strong written and verbal communication skills in English and ability to collaborate across general teams
Requisitos principales
• Relocation assistance provided

📌 Lead Fleet Reliability Data Engineer (Barcelona)
🏢 GE Vernova
📍 Barcelona