Senior/Lead Data Engineer, Industrial Knowledge

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🕒 May 29

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Spyrosoft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2016

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

B2B • Enterprise • Artificial Intelligence

Spyrosoft is a European technology services and software engineering company that partners with enterprises to deliver digital transformation, custom software, and IT consulting. It provides cloud, AI/ML, embedded and IoT development, cybersecurity, product design, managed services, and staff augmentation, and builds platforms and products such as DebtPro, Allpro, and VoicePro. Spyrosoft serves clients across multiple sectors including automotive, healthcare and life sciences, financial services, geospatial, media and entertainment, robotics and energy, and operates from offices across Europe, the UK, and the US.

📋 Description

• Design and implement ingestion and transformation pipelines from industrial source systems into clean, auditable datasets • Work directly with data from MES, SCADA, historians, PLC/OT systems, LIMS/LAB/OPS platforms, and other operational sources • Perform data quality audits and identify: Anomalies, Dead or inactive signals, Data gaps, Inconsistencies • Develop datasets and validation logic supporting KPI definitions and PoC delivery • Build PoC components such as: Batch analytics pipelines, Event detection logic, Time-series transformations • Create lightweight PoC tooling, dashboards, applications, or visualizations when required • Support presales and consulting teams by shaping technical solutions and identifying business value hidden in industrial data • Produce delivery-grade documentation, handover materials, and implementation support assets

🎯 Requirements

• 5+ years of experience in Data Engineering, industrial analytics, or data solution delivery • Strong Python and SQL skills for building ingestion pipelines, transformations, and validation logic • Proven experience in building reproducible, auditable, and scalable data products • Hands-on experience with industrial and operational data, including: MES, SCADA, Historians, PLC / OT systems, Operational time-series data • Solid background in data profiling and data quality assessment, including: Anomaly detection, Gap analysis, Dead signal analysis, Inconsistency checks • Ability to design datasets aligned with business KPIs and PoC objectives • Strong engineering discipline: Git-based workflows, Code reviews, Testing practices, Documentation and runbooks • Experience working in PoC-driven, KPI-oriented project environments • English level: B2 or higher