Senior Data Engineer jobs at Honeywell in United Kingdom, London

• Deliver the sales target and drive growth successfully year after year through Key Growth Levers, Break Through Initiatives, both within new & existing accounts.
• Own Key Account Management & Territory account management & lead and be part of the dedicated sales pursuit teams on targeted accounts, integrating with the Project Team, Service Team, other internal functions
• Primary customer interface responsible for the development of new business, relationships, and management of these relationships, in pursuit of business growth & understanding customer’s business, drivers, and organization, and articulating the value proposition accordingly.
• All sales related activity management through the accurate, timely account planning and early engagement in the customer buying process diagnosing customers’ needs and tailoring solutions to match.
• Growth in the form of new opportunities within existing and new accounts - Develop and sustain long term customer relationships; Establish these relationships while engaging customers at all levels including senior levels of the customer organization

• Bachelor's degree in Engineering ( desirable but not essential)
• Extensive Sales experience, preferably in Solution Sales, in the Airport and/or Building Automation technologies experience
• Customer engagement at senior levels; building long-term strategic and executive relationships
• In-depth industry and market knowledge
• Cross selling and consultative selling - experience with collaborating across both client and own organization

• JOB ID: HRD262898
• Category: Sales
• Location: 450 Bath Road,Heathrow,GREATER LONDON,UB7 0EB,United Kingdom
• Exempt

• 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

• Supervise and mentor a team of AI/ML engineers, conducting performance reviews and setting development goals.
• Align AI/ML projects with broader business objectives, ensuring measurable impact on Honeywell’s autonomy roadmap.
• Provide technical guidance on model selection, MLOps, data engineering, and project scoping.
• Collaborate with product stakeholders to validate requirements, timelines, and deliverables.
• Foster a culture of continuous learning, problem-solving, and innovation within the team.

• Bachelor’s or Master’s in Computer Science, Engineering, or a related discipline.
• Experience in AI/ML fields, with Minimum 2 years in a supervisory or team lead role. Track record of delivering large-scale AI solutions in production environments.
• Strong knowledge of modern leadership practices (goal-setting, feedback, coaching). Demonstrated success in cross-functional collaboration, balancing technical depth with business impact.
  Proven leadership and people-management skills, including conflict resolution and coaching.
• Understanding of end-to-end AI/ML pipelines—from data ingestion to model governance.
• Ability to question assumptions and maintain a healthy skepticism to drive data-backed decisions. Skilled communicator able to translate complex AI concepts for executive-level audiences.
• Familiarity with Agile or Kanban methodologies to manage fast-paced AI project cycles.

• 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: HRD263018
• Category: Engineering
• Location: 1 Windmill Lane,Dublin,DUBLIN,D02 F206,Ireland

Location:Dublin, (this is a hybrid role, 3 days at the office + 2 days work from home model.)

Role Type:Permanent, full time

This is a hybrid role, 3 days at the office + 2 days work from home model.

Support execution of financial strategies to achieve or exceed committed performance

Assist in Annual Operating Plan (AOP) process as well as the Strategic Annual Planning process (STRAP)

Lead analysis related to Op.Ex spend

Identify opportunities for Working Capital / Cash Flow improvements

Controllership & General Accounting

Manage month-close process for Irish Legal Entity, coordinating with our shared service colleagues & stakeholders to ensure timely and accurate financial reporting

Assist with internal and external audit requests as needed

Costing & Transfer Pricing

Support annual Costing & Transfer Pricing activities in region to ensure accurate margin maintained within Legal Entity

Qualified accountant, (preferably ACCA or CIMA)

Proficiency in management reporting and forecasting with commentary and analysis

Knowledge of SAP, Hyperion or other ERP systems

Our offer

Career Growth: Clear pathways for advancement, regular feedback, and mentorship opportunities.

Skill Development: Access to training and certifications.

Work-Life Balance: Flexible working arrangements and support for combining work with education.

Tech and Innovation: Access to modern tools, technologies, and innovative work environments.

• JOB ID: HRD262216
• Category: Finance
• Location: 1 Windmill Lane,Dublin,DUBLIN,D02 F206,Ireland
• Exempt

Key Responsibilities:

• Identify new customer and project opportunities that will drive growth for Solstice® sustainable refrigerant solutions in the Food Retail/Service and Cold Chain industries.
• Forge strategic partnerships and create senior level/C-suite engagement with key food retail/service and cold chain end-users, OEMs, consultants, contractors and installers at all levels of their organizations.
• Develop a robust opportunity pipeline aligned with strategic growth goals, and implement structured account plans for your main customers.
• Manage accurately & timely your sales opportunity pipeline in SFDC (salesforce.com) and meet the Sales Excellence metrics.
• Drive customer projects from inception to closure with a sense of urgency; collaborate with Channel, OEM, Technical and Marketing teams to expedite project closure.
• Drive revenue and margin in your territory to meet or exceed sales revenue and profitability targets as per our AOP (annual operating plan) and NPI/BTI (New Product Introduction / Breakthrough Initiatives) targets.
• Collect and share market and competitor intelligence across the value chain.
• Participate in relevant industry associations, trade events and meetings and engage stakeholders in the Food Retail value chain to promote Solstice® sustainable refrigerant solutions
• Educate on regulations which are currently, and potentially in future, impacting Solstice® sustainable refrigerant solutions.

You Must Have:

• A pioneer and hunter mentality, tenacity, and a resilient mindset.
• A Bachelor’s degree.
• >10 years of B2B sales and business development experience in a multinational context.
• Spoken and written Spanish, Italian and English is essential; the ability to speak other European languages would be advantageous, particularly Portuguese.
• Commercial and financial acumen – ability to understand CapEx, OpEx, Return on Investment, Total Cost of Ownership.
• Strong Customer focus, ability to understand and clearly articulate value propositions, to analyze customers’ needs and use consultative selling skills to solve problems and create customer value.
• Strong networking, influencing, negotiating and closing skills, paired with strong organization & project management skills.
• Excellent presentation and written communication and interpersonal skills.
• Willingness to travel frequently.

We Value:

• Experience in selling value-based solutions into the food retail/service, cold chain and commercial refrigeration market.
• Experience in dealing with regulated products and with political/policy topics impacting business.
• Adaptability and the ability to move from the strategic to the tactical as the situation dictates.
• Ability to work collaboratively in a diverse cultural team and in a matrix environment.
• Ability to take initiative and work with limited direction.
• Ability to influence across a broader organization.
• Ability to work remotely.

• JOB ID: HRD263124
• Category: Sales
• Location: Floors G, 1-3, LA CALLE MARÍA DE PORTUGAL,Madrid,MADRID,28050,Spain
• Exempt

• 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