Data Engineer

• Develop, implement, and maintain production-grade data pipelines based on data science requirements
• Design and build scalable data flows for specific business use cases that can be integrated into the product
• Build and maintain machine learning data pipelines
• Create tools and frameworks that support data scientists and analytics teams in developing and optimizing innovative solutions
• Collaborate closely with Product, R&D, Data, and Analytics teams to enhance system functionality and performance
• Train customer data scientists and engineers on maintaining and enhancing data pipelines within the platform
• Travel domestically and internationally to support customers when required
• Build and manage strong technical relationships with customers and partners

• Lead end-to-end EAM data migration workstreams for global/template roll-outs
• Manage multi-cycle mock loads, rehearsal iterations, reconciliation, and final production cutovers
• Design, build, and oversee data profiling, cleansing, and transformation logic using ETL tools
• Apply EAM process expertise across Asset Lifecycle, Preventive Maintenance, Work Order Management, Scheduling & Dispatch, and Inventory/Parts Management
• Translate business needs into audit-ready migration rules and mapping specifications
• Conduct fit-gap analyses and assess source/target data quality
• Establish data profiling and validation rules to minimize enterprise transition risks
• Serve as the primary liaison among business leads, functional consultants, technical developers, and data governance teams
• Drive integration strategy and bridge business processes with technical execution

Data Engineer jobs in Europe

Data Engineer

Enterprise Asset Management Integration, Data Migration Lead