Lead Data Engineer jobs at Honeywell in United Kingdom, London

• requirements, and providing product presentations and solutions.
• Guide customers in selecting the right products and solutions for their specific applications.
• Provide technical training to customers on our products and solutions.
• Facilitate project execution, troubleshooting issues, and ensuring successful implementation of our solutions.
• Develop advanced customer applications, designing / programing custom solutions to meet specificrequirements.
• Track and report billable hours for customer projects.
• Complement our sales representatives with deep technical knowledge, assisting with pre-sales activities, product selection, and job execution.

• Career Growth
• Market conform salary
• Professional Development
• Company Car, Card and Phone

• Minimum of5 yearsofexperiencein a technical sales role, preferably in the field of industrial automation or Building automation.
• Strong knowledge and expertise in programmablelogiccontrollers (PLCs) and Codesys specifically.
• Fluency in English is amustwith excellent communication and people-oriented skills.
• Ability to comprehend customerrequirementsand provide tailored solutions.
• Strong problem-solving and troubleshooting skills.
• Proficient inCRMsoftware and Microsoft Office Suite

• ’sdegreein engineering or a related field.
• Experiencein conducting technical training sessions.
• Proventrack recordin developing advanced customer applications.
• Ability to work collaboratively with cross-functional teams.
• Strong customer focus and ability to build relationships.

• JOB ID: HRD256300
• Category: Customer Experience
• Location: Tristar 1, Stationsplein-ZW Schiphol,Amsterdam,AMSTERDAM,1117 CE,Netherlands
• 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

• Design and implement high-impact AI/ML models and workflows, ensuring scalability and reliability on cloud platforms such as Databricks, VertexAI, etc.
• Collaborate with cross-functional teams (Data Engineering, ML Engineering, DevOps) to create holistic MLOps pipelines, leveraging frameworks such as MLflow and Kubeflow.
• Conduct thorough reviews of ML models for performance, bias, and drift, proposing corrective actions.
• Integrate AI (including TimeSeries, Computer Vision, NLP, GenAI/RAG/Agentic AI) solutions into existing Honeywell products, maintaining rigorous code quality standards.
• Mentor junior engineers, promoting best practices in model development and deployment.

• Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field, with knowledge of Agile or similar software development methodologies; strong Python skills complemented by exposure to additional programming languages like Scala or Java.
• Full-stack AI/ML experience encompassing all stages from data ingestion through model deployment and maintenance, supported by strong hands-on experience in developing and deploying ML models in production.
• Strong analytical mindset focused on skeptical, data-driven decision-making, with a proven track record in advanced machine learning frameworks such as TensorFlow and PyTorch.
• Familiarity with cloud platforms like AWS, Azure, or GCP for large-scale training and deployment of models, alongside demonstrated expertise in MLOps tools and best practices, including CI/CD, containerization, and orchestration.
• Ability to effectively communicate technical concepts to both technical experts and laypersons, facilitating collaboration across diverse teams.

• 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: HRD261264
• Category: Engineering
• Location: 1 Windmill Lane,Dublin,DUBLIN,D02 F206,Ireland
• Exempt

• Lead Python-based AI solution development from prototype to production, emphasizing code quality and maintainability.
• Architect APIs and microservices that integrate AI models into existing and next-generation Honeywell platforms.
• Drive unit testing, integration testing, and deployment workflows for robust, scalable AI applications.
• Work closely with Data and ML Engineers to optimize data pipelines and model inference latency.
• Oversee code reviews and enforce engineering best practices, ensuring reliability and clarity in all deliverables.

• Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field. Expert-level Python coding skills with a focus on identifying potential performance bottlenecks and strong background of software engineering experience, particularly in production-grade Python solutions.
• Strong understanding of software engineering patterns, including microservices, RESTful APIs, and containerization, along with knowledge of DevOps and cloud-native architectures such as Docker and Kubernetes.
• Experience with modern toolchains for Continuous Integration/Continuous Deployment (CI/CD), version control, and automated testing, ensuring efficient development processes.
• Ability to mentor and coach others in clean coding, design patterns, and Pythonic practices, fostering skill development within teams.
• Demonstrable history of building and deploying AI/ML applications at scale, with familiarity in libraries and frameworks such as FastAPI, Flask, TensorFlow, and PyTorch, and proven success in agile environments balancing speed with system robustness.

• 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: req486228
• Category: Engineering
• Location: 1 Windmill Lane,Dublin,DUBLIN,D02 F206,Ireland
• Exempt

Supply Chain Finance Lead

As a Supply Chain Finance lead here at Honeywell, you will play a crucial role in analyzing financial data, providing insights, and assisting strategic decision-making. You will be accountable for conducting financial analysis, forecasting, and budgeting to drive business performance and profitability.

You will report directly to our Senior Finance Manager, and you'll work out of our Dublin, Ireland location on a hybrid work schedule.

In this role, you will impact the financial success of the company by providing accurate and timely financial analysis, identifying trends, and recommending actions to drive growth and efficiency.

Key Responsibilities

• Monitor and analyze weekly Profit and Loss statements.

• Lead the planning and forecasting activities for the Integrated Supply Chain (ISC) team.

• Perform monthly closing activities.

• Develop and maintain reporting mechanisms to meet financial objectives.

• Ensure compliance with accounting controls and procedures.

• Manage inventory and obsolete management.

• Analyze key performance indicators to drive operational efficiency.

• Facilitate capital expenditure (Capex) evaluation and management.

• Monitor and control operating expenses (Opex) effectively.

Key Requirements

• Ideal experience in Finance positions, with a focus on managing complex P&Ls and reporting.

• Ability to provide financial guidance through metrics, economic analysis, productivity analysis, and manufacturing cost analysis.

• Bachelor's degree in accounting, finance, related field, or relevant work experience/professional qualification (ACCA, CPA, or CIMA).

• Background in Supply Chain & Operations, preferably in an industrial environment, with a solid understanding of financials in a regional matrix environment.

• Ability to drive financial process improvement and business transformation.

• Significant experience with financial systems and reporting, particularly SAP, Essbase, or SQL query.

• Strong communication and presentation skills.

Our offer

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: HRD257484
• Category: Finance
• Location: 1 Windmill Lane,Dublin,DUBLIN,D02 F206,Ireland
• Exempt

As a Lead Software Engineer here at Honeywell, you will play a critical role in driving innovation and technical excellence on Cloud Solution team within the Security and Access Solutions business. You will be responsible for driving cloud engineering across our portfolio, ensuring high-performance, scalable, and reliable cloud-based solutions. Your expertise in cloud engineering and security will be instrumental in maintaining and advancing our position at the forefront of cloud technology.
You will report directly to our Director of Software Engineering - Cloud Solutions and you'll work out of our Atlanta, GA or Pittsford, NY locations on a hybrid work schedule.

In this role, you will impact the development and implementation of cloud solutions, ensuring they meet security and compliance standards. You will collaborate with cross-functional teams to define requirements and engineer cloud solutions. Your work will help safeguard our company's assets and protect sensitive information from potential threats.
Key Responsibilities

• Cloud-Native Development
• Design and develop robust, scalable cloud-based systems leveraging microservices architecture.
• Implement service deployment leveraging orchestrated containerized applications and native PaaS services Data Management and Access
• Engineer and implement secure data management solutions using systems such as PostgreSQL, SQL Server, and Mongo DB.
• Develop systems enabling autonomous functionality, incorporating AI/ML models for decision-making and task execution.
• Implement automation pipelines for CI/CD processes, ensuring high availability and rapid feature deployment.
• Support autonomous operations through robust API-led development and real-time communication systems.
• Security and Compliance
• Design and maintain secure communication channels and access points for mission-critical Security systems.
• Collaboration and Agile Practices
• Work closely with cross-functional teams, including systems engineers, data scientists, and cloud architects, to align on project goals.
• Follow Agile methodologies, participating in kanban, sprints, and iterative development cycles.

MUST HAVE

• Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering
• 5+ years of experience with cloud deployment and orchestration tools; experience with Kubernetes desired.
• 5+ years of experience with React, Redux and Node.js for full-stack development.
• Experience with SQL and document databases and cloud-native data tools.
• Good to have: Experience in Cross platform Mobile app technologies

Programming Proficiency

• Strong command of JavaScript, TypeScript, C# and Python…
• Capability to write secure and maintainable code adhering to best practices.
• Cloud and API Knowledge
• Deep understanding of cloud environments and API-led development strategies.
• Exposure to Access and Video technologies
• Experience with CI/CD tools and version control systems such as Git.
• Practical knowledge of implementing zero-trust security models.
• Prior experience in Security Domain (Access, Intrusion OR/AND Video).

WE VALUE

• Deeper expertise in Azure cloud technologies
• Proactive in learning, evaluating, and adopting new technologies
• Experience deploying and managing Native/hybrid cloud solutions.
• Familiarity with AI-driven applications.
• Exposure to systems engineering principles in the Security Sector
• Familiarity with AI/ML concepts, including LLMs

• JOB ID: HRD9085632
• Category: Engineering
• Location: 1212 Pittsford-Victor Road,Pittsford,New York,14534,United States
• Exempt

Key responsibilities

• Maintenance testing, start-up technical support of Fire equipment
• Perform Pre-planned Preventative Maintenance, re-active & commissioning works on systems
• Day to day servicing, calibrations and maintenance; including diagnoses and repairs faults in fire alarm equipment, to include service and maintenance of third-party equipment
• Technical support across any type of electrical or mechanical equipment, systems and subsystems from simple to moderately complex in nature. Perform and advise on diagnosing and repairing equipment and systems (both hardware and software)
• Identifying improvements within the system and proposing these to customer to drive efficiencies and reliability

Key skills and qualifications

• Previous experience of servicing Fire Alarm systems in particular Honeywell XLS80E and large multi-panel network systems
• A working knowledge of the current IEE regulations and relevant standards (BS7671 18th Edition)
• The ability to identify and satisfy customer needs as well as commercial opportunities
• Good communication skills to communicate effectively with internal and external customers at all levels
• Familiarity with Health & Safety regulations and the ability to work within customer controlled environments

Our offer

• Market specific training and on-going personal development
• Competitive salary and generous benefits
• Reward scheme for successful upselling of products and services
• Work for a well-known brand with a continued focus on innovation and growth
• Join a dynamic team where most leaders are promoted from within

• JOB ID: HRD253746
• Category: Customer Experience
• Location: GREATER LONDON,United Kingdom
• Nonexempt