2 of 2 Data Validation Jobs in Shropshire

balancing the simultaneous rollout of multiple projects while ensuring continuous system improvements. Main Responsibilities Factory Assessment & Scope Definition Conduct plant surveys to evaluate the current automation landscape, identifying missing data points, hardware gaps, and network limitations required for MES deployment. Develop detailed design proposals that define the scope of work for MES Production Order Control implementation. System Integration & Data Flow Design Determine the optimal communication routes for seamless data transfer between machine/line control PLCs, MES, and SCADA systems. Design and implement PLC networks, ensuring secure and efficient industrial communication (e.g., OPC UA, Profinet, Modbus, Ethernet/IP). Interface with instrumentation, sensors, and process control equipment to capture relevant production data. Execute PLC programming and … in collaboration with plant electrical teams, ensuring compliance with approved designs and standards. Program and configure a range of PLCs (Allen Bradley, Siemens, Beckhoff, Omron, etc.) to facilitate MES data collection and machine control. Validate and troubleshoot MES integration, ensuring accurate, real-time data flow from shopfloor equipment to MES servers. Conduct thorough data validation tests More ❯

Job Role : Data Migration Engineer Role Type: Permanent Location: Telford, UK Hybrid – 2 days’ work from Telford office Job Description : • Lead end-to-end data migration projects, including planning, mapping, extraction, transformation, loading, and validation. • Design and implement data migration strategies to migrate large volumes of structured and unstructured data across various environments (cloud, on-premises … hybrid). • Collaborate with cross-functional teams, including data architects, business analysts, and developers, to gather migration requirements and align data migration processes with business objectives. • Ensure data integrity, security, and compliance during migration, adhering to GDPR and other data protection regulations. • Develop ETL pipelines using tools like AWS Glue, or similar technologies to automate data migration processes. • Optimize data migration performance through efficient data transformation, filtering, and mapping techniques. • Monitor data migration progress and resolve issues related to data quality, schema mismatches, or system compatibility. • Create and maintain detailed documentation, including migration plans, data mapping, transformation rules, and post-migration validation reports. • Conduct data validation and More ❯