Innovate to solve the world's most important challenges
Senior Data Engineer
We have an opportunity for a Senior Data Engineer to join us at Honeywell, in Dublin, where you will be responsible for delivering cutting-edge AI/ML data products for industrial customers. In this role, you will design and implement scalable data pipelines, enabling next-generation AI solutions such as Large Language Models (LLMs), autonomous agents, and real-time inference systems. With a strong focus on IoT and real-time data processing, you will work at the intersection of industrial telemetry data and modern AI technologies to develop innovative, high-impact solutions. Join us in shaping the future of industrial AI.
This is a hybrid role, 3 days at the office + 2 days work from home model, with the opportunity to travel to India and US if required.
Key Responsibilities
Data Engineering & AI Pipeline Development:
1. 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.
2. 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.
DataOps:
1. 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.
2. 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.
3. 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.
Key Skills and Qualifications
1. Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering or mathematics
2. 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
3. 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.
4. 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.
5. 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
Our Offer
1. A culture that fosters inclusion, diversity, and innovation in an international work environment
2. Market specific training and ongoing personal development.
3. Experienced leaders to support your professional development
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Join us now and be part of a global team of thinkers, innovators, dreamers, and doers who make the things that make the future
#TheFutureIsWhatWeMakeIt #LI-Hybrid
Additional Information
1. JOB ID: HRD260561
2. Category: Data & Analytics
3. Relocation Tier: Not Applicable
4. Security Clearance:
5. Aviation Authority (FAA for US):
6. Band: 03
7. Referral Bonus: 1500
8. Requisition Type: Standard Requisition
9. US Citizenship:
10. FLSA Statement:
11. FLSA CODE:
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