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Prysmian

Industrial Data Engineer

Prysmian

Industrial Data Engineer at Prysmian transforming raw plant data into actionable insights for operational excellence. Managing analytics pipeline using technologies like Python and SQL, collaborating with OT and IT teams.

Posted 7/6/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSCloudETLPythonSQL

About the role

Key responsibilities & impact
  • Manage the entire analytics pipeline—from data collection at the historian layer to visualization and reporting—while plant engineering teams continue to own PLC-to-server connections.
  • This role includes administrator-level control across data platforms, ensuring reliability, governance, and scalability.
  • Own end-to-end data flow from OT historians (PI, Aveva, Ignition) to analytics and reporting environments.
  • Design, script, and maintain ETL/ELT pipelines for historian-to-cloud data movement using Python, SQL, and AWS services.
  • Develop reusable data models, APIs, and standardized data structures for use across plants and digital platforms.
  • Troubleshoot and resolve data flow disruptions, historian tag failures, and dashboard refresh issues.
  • Collaborate with plant engineers, OT, and IT teams to maintain secure, standardized, and reliable data pipelines.

Requirements

What you’ll need
  • 5+ years in a manufacturing analytics role
  • Bachelor’s degree in computer science, data science, or engineering
  • Experience with AVEVA, Ignition, PLC tags required
  • Willingness to travel at least 50% also required.

Benefits

Comp & perks
  • Competitive salary
  • Flexible working hours
  • Professional development budget
  • Home office setup allowance
  • Global team events

ATS Keywords

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Hard Skills & Tools
Data CollectionData VisualizationData GovernanceData ModelingAPI DevelopmentTroubleshootingData Flow ManagementCloud Data MovementStandardized Data StructuresAnalytics Reporting
Soft Skills
CollaborationProblem-Solving