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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing analytics pipelines, including data collection, ETL/ELT processes, and data visualization. Proficient in utilizing Python, SQL, and AWS services to ensure reliable and scalable data flow across manufacturing environments.

Highest-signal resume keywords

Data Pipeline ManagementETL/ELT DevelopmentPython ProgrammingSQL ProficiencyAVEVA Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CollectionData VisualizationData GovernanceData ModelingAPI DevelopmentTroubleshootingData Flow ManagementCloud Data MovementStandardized Data StructuresAnalytics Reporting

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

AWS ServicesPI SystemIgnitionAVEVA

Industry Keywords

Manufacturing AnalyticsOT HistoriansPLC TagsData ReliabilityData Scalability

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