דרושים Industrial Automation Systems Engineer ב-Honeywell ב-United Kingdom, Manchester

You will report directly to our Field Service Engineering Manager and you'll work out of our designated location on a hybrid work schedule. In this role, you will impact the efficiency, productivity, and safety of our customers' operations by providing exceptional technical support and service.

KEY RESPONSIBILITIES

Troubleshoot and resolve technical issues related to PLC, SCADA, and DCS systems

Provide technical support and expertise for Industrial Automation solutions

Stay updated with industry trends and advancements, and provide recommendations for improvement

YOU MUST HAVE

Bachelor’s degree from an accredited institution in a technical discipline such as Electrical Engineering or Mechanical Engineering

Proven experience in field service engineering, with a focus on PLC, SCADA, and DCS systems

Strong technical knowledge and expertise in Industrial Automation industry and technologies

Excellent problem-solving and troubleshooting skills

Ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders

Experience in project management and execution

Availability to travel or move across our client base at varying sites in a designated zone.

• JOB ID: HRD261895
• Category: Customer Experience
• Location: Worthington House, The Towers,Busn Park,856 Wilmslow Rd.,Didsbury,GREATER MANCHESTER,M20 2HY,United Kingdom
• Nonexempt

• Design and implement scalable data architectures and robust data pipelines to process high-volume IoT sensor data, ensuring reliable data capture and processing for AI/ML workloads, including training data preparation and feature engineering.
• Develop and optimize RAG (Retrieval Augmented Generation) systems and data integration solutions that enhance the retrieval and use of combined industrial IoT and enterprise data sources for AI model training and inference.

• Implement DataOps practices for the continuous integration and delivery of data pipelines that support AI solutions, including automated testing frameworks for data quality and AI model performance monitoring.
• Create self-service data assets and automated documentation systems to enhance data accessibility, lineage, and AI model provenance for data scientists and machine learning engineers.
• Collaborate with ML engineers and data scientists to optimize data workflows for model training and deployment, fostering continuous improvement in data engineering practices while adapting to the dynamic AI landscape.

• Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering or mathematics
• Data engineering experience with strong understanding of CDC, ELT/ETL workflows, streaming replication, and data quality frameworks. Hands-on experience with PySpark/Scala, and experience with cloud platforms (Azure/GCP/Databricks), particularly in implementing AI/ML data workflows
• Possesses a strong understanding of data modelling for analytical and AI workloads, along with expertise in implementing RAG architectures, working with LLM-powered applications, and building data pipelines for MLOps practices and AI model deployment.
• Skilled in real-time data processing frameworks such as Apache Spark Streaming, experienced with time-series databases and IoT data modelling patterns, while also knowledgeable in data quality implementation for AI training data and graph databases for AI applications.
• Familiar with containerization (Docker) and orchestration (Kubernetes) for AI workloads, with a strong background in data security and governance practices, and experienced in working with distributed teams using Agile and Scrum methodologies

• A culture that fosters inclusion, diversity, and innovation in an international work environment
• Market specific training and ongoing personal development.
• Experienced leaders to support your professional development

• JOB ID: HRD260561
• Category: Data & Analytics
• Location: 1 Windmill Lane,Dublin,DUBLIN,D02 F206,Ireland