Fleet Reliability Data Engineer: Build Trusted Engineering Data

GE Vernova; Barcelona; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

GE Vernova seeks a Fleet Reliability Data Engineer to build the trusted data foundation for global Solar and Storage fleets. You will connect telemetry, alarms, events, and maintenance data into durable engineering datasets for reliability analysis and predictive analytics.

The role blends data engineering with industrial asset understanding, partnering with Reliability, RCA, Data Analytics & AI, and Field Operations to create analysis-ready data products and governed data services.

Formación

• Bachelor's degree in a technical field and 8+ years in data engineering or related roles.
• Proficient with SQL and Python for data ingestion, transformation, and validation.
• Experience building ETL/ELT pipelines across multi-structured sources.
• Strong data modeling, APIs, version control, and testing practices.
• Experience with data-quality, lineage, monitoring, and reconciliation controls.
• Ability to translate engineering requirements into scalable data structures and products.
• Excellent written and verbal English communication for global teams.

Responsabilidades

• Design, build, and maintain scalable data pipelines ingesting telemetry, alarms, events, and maintenance data.
• Develop standardized fleet asset models and hierarchies across sites, systems, and components.
• Establish traceability for interventions, replacements, and lifecycle events.
• Create reliable, analysis-ready reliability datasets for RCA, failure trends, and predictive analytics.
• Link operational events with maintenance actions, configuration, and investigation outcomes.
• Implement data-quality rules, lineage, and data-integrity controls.
• Collaborate with Reliability, RCA, Data Analytics, AI, and engineering teams to deliver governed data products.
• Develop master-data standards, metadata catalogs, and data governance practices.
• Integrate data from historians, SCADA, remote-monitoring, service-management, and engineering databases.
• Create APIs and data services with clear ownership, interface specs, and documentation.

Conocimientos

SQL

Python

ETL/ELT pipelines

Data Modeling

APIs

Version Control

Data Quality

English Communication

Educación

Bachelor's degree in Computer Science or related field

Advanced degree in Data Engineering or related field

Herramientas

Spark

Databricks

Snowflake

Azure/AWS/GCP

Airflow

dbt

Kafka

Descripción del empleo

GE Vernova seeks a Fleet Reliability Data Engineer to build the trusted data foundation for global Solar and Storage fleets. You will connect telemetry, alarms, events, and maintenance data into durable engineering datasets for reliability analysis and predictive analytics.

The role blends data engineering with industrial asset understanding, partnering with Reliability, RCA, Data Analytics & AI, and Field Operations to create analysis-ready data products and governed data services.