2 months ago
Kilkenny, IrelandSenior
Responsibilities
- Design, develop, and maintain scalable data pipelines and data products for engineering, manufacturing, quality, and operational analytics.
- Develop ETL/ELT frameworks to ingest, transform, and deliver data from enterprise and manufacturing systems.
- Implement and optimize cloud-based data solutions using Databricks, Apache Spark, and Lakehouse architecture principles.
- Develop solutions using Databricks, Delta Lake, Spark, Python, and SQL.
- Establish engineering standards, development practices, monitoring frameworks, and deployment processes for the Databricks platform.
- Integrate data from MES, SCADA, Historian, ERP, laboratory, equipment, and quality systems.
- Support Industry 4.0 and Smart Manufacturing initiatives through data integration and analytics capabilities.
- Lead multiple concurrent projects from concept through deployment while managing scope, timelines, risks, and stakeholder expectations.
- Collaborate with engineering, operations, quality, IT, infrastructure, cybersecurity, and business teams across global regions.
- Mentor engineers, analysts, and data professionals and contribute to the long-term Engineering Data & Analytics strategy.
Requirements
- Bachelor’s degree in Engineering, Computer Science, Data Engineering, Software Engineering, Mathematics, Statistics, or a related technical discipline.
- Significant experience in Data Engineering, Data Platform Development, or Industrial Analytics.
- Strong experience designing scalable data pipelines with Python and SQL.
- Experience with cloud-based data platforms, modern data architectures, data modelling, data integration, and data quality principles.
- Proven experience delivering technical projects in complex business environments.
- Hands-on experience with Databricks and Apache Spark.
- Experience with Delta Lake, Unity Catalog, Microsoft Azure data services, and Lakehouse architecture principles.
- Experience supporting AI, Data Science, Machine Learning, or advanced analytics initiatives.
- Experience integrating Operational Technology and Information Technology systems and data.
- Experience in Medical Devices, Pharmaceuticals, Life Sciences, Manufacturing, or other regulated industries is preferred.
- Knowledge of MES, SCADA, Historian, ERP, or other industrial systems.
- Experience implementing data governance and data management frameworks.
- Strong communication, collaboration, stakeholder management, and global teamwork skills.
Benefits
- Competitive pay and an attractive compensation package.
- Family health insurance.
- Excellent pension scheme.
- Life assurance.
- Career development opportunities.
- Access to a new facility and additional benefits.
- The role is based in Kilkenny, Ireland, includes approximately 10% travel, and is conditional on a pre-employment medical examination including drug and alcohol screening.
Tech Stack
Categories
Data Engineering
About Abbott
Abbott is a NYSE‑listed healthcare company that develops diagnostics, medical devices, nutrition products, and branded generic medicines for clinicians and consumers. Founded in 1888 and headquartered in Abbott Park, Illinois, it sells products in more than 160 countries, including the FreeStyle Libre continuous glucose monitoring system. Revenue comes primarily from product sales to hospitals, clinics, and retail channels.