Senior Data Engineer

Abbott

Kilkenny

On-site

EUR 90,000 - 130,000

Full time

8 days ago

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Benefits offered by this job

Family health insurance

Excellent pension scheme

Life assurance

Career Development

Fantastic new facility

Growing business plus access to many更多

Job summary

Abbott Diabetes Care Kilkenny is seeking a senior data engineer to lead data platform initiatives across engineering, manufacturing, and analytics. You will design scalable data pipelines, drive Databricks development, and partner with global teams to enable AI-enabled decision making.

The role requires extensive experience with Python, SQL, Spark, and cloud data architectures, plus ability to mentor engineers and deliver value through data-driven solutions.

Qualifications

Bachelor's degree in Engineering, CS, Data Engineering or related field.
Significant data engineering or industrial analytics experience.
Strong Python and SQL development experience.
Experience with cloud data platforms and modern data architectures.
Knowledge of MES, SCADA, ERP, or other industrial systems.
Hands-on Databricks and Spark experience.

Responsibilities

Design, develop, and maintain scalable data pipelines across engineering, manufacturing, and analytics.
Lead Databricks platform development and establish standards and best practices.
Integrate data from manufacturing systems and enable OT/IT data collaboration.
Collaborate with global teams to deliver strategic data initiatives.
Provide technical leadership and mentorship across the data organization.

Skills

Data engineering

Leadership

Mentoring

Stakeholder management

Cloud data platforms

Education

Bachelor's degree in Engineering/CS/Data Eng

Tools

Databricks

Apache Spark

Delta Lake

Unity Catalog

Lakehouse

Python

SQL

Azure

Job description

About Abbott

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.

Abbott in Ireland

Abbott has been operating in Ireland since 1946 and serves the Irish market with a diverse range of healthcare products including diagnostics, diabetes care, medical devices and nutritional products. In Ireland, Abbott currently employs about 6,000 people across ten sites located in Dublin, Donegal, Clonmel, Cootehill, Galway, Kilkenny, Longford and Sligo.

Please note any offer of employment for this position is conditional upon the successful completion of a pre-employment medical examination, including drug and alcohol screening, conducted by a medical practitioner designated by the Company.

Abbott Diabetes Care Kilkenny

Abbott Diabetes Care has opened a new site, in Kilkenny, that is at the forefront of Diabetes care with the latest technology, to manufacture FreeStyle blood glucose test strips and FreeStyle Sensors for use in diabetes management. Among Abbott Diabetes Care leading brands are the FreeStyle Precision, FreeStyle Lite and FreeStyle Libre systems.

This is how you can make a difference at Abbott:

This is a unique opportunity to play a pivotal role in advancing engineering, manufacturing, and digital transformation initiatives across our global operations network. Working closely with stakeholders throughout Europe and the United States, you will design and deliver scalable data solutions that drive operational excellence, enhance decision-making, and enable next-generation analytics capabilities.

As a senior member of the team, you will help shape our newly established Databricks platform, defining standards, architecture, and best practices that will form the foundation of our future data and AI strategy.

If you are passionate about building modern data platforms, solving complex technical challenges, and delivering measurable business value through data, we would love to hear from you.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and data products supporting engineering, manufacturing, quality, and operational analytics.
Develop robust ETL/ELT frameworks to ingest, transform, and deliver data from a wide range of enterprise and manufacturing systems.
Implement and optimize cloud-based data solutions using Databricks, Apache Spark, and modern Lakehouse architecture principles.
Ensure data quality, reliability, security, and governance across the entire data lifecycle.
Create reusable, maintainable, and well-documented data engineering solutions that support long-term business scalability.

Lead Databricks Development

Play a key role in the evolution of our Databricks platform and broader data ecosystem.
Develop solutions using Databricks, Delta Lake, Spark, Python, and SQL.
Establish engineering standards, development practices, monitoring frameworks, and deployment processes.
Influence platform architecture and design decisions that support analytics, machine learning, and AI use cases.
Collaborate with IT, infrastructure, and cybersecurity teams to ensure secure and compliant platform operations.

Enable Data-Driven Manufacturing

Integrate data from manufacturing and business systems, including MES, SCADA, Historian, ERP, laboratory, equipment, and quality systems.
Support Industry 4.0 and Smart Manufacturing initiatives through advanced data integration and analytics capabilities.
Identify trends, opportunities, and performance improvements from complex engineering and operational datasets.
Build trusted data foundations that enable reporting, advanced analytics, machine learning, and AI solutions.

Deliver Strategic Projects

Lead multiple concurrent projects from concept through deployment.
Manage project scope, timelines, risks, and stakeholder expectations.
Collaborate with engineering, operations, quality, IT, and business teams across multiple global regions.
Translate business challenges into scalable technical solutions that deliver measurable value.

Provide Technical Leadership

Act as a subject matter expert for data engineering and modern data platform technologies.
Mentor and support engineers, analysts, and data professionals across the organisation.
Drive adoption of industry best practices and emerging technologies.
Contribute to the long-term Engineering Data & Analytics strategy and roadmap.

Education & Experience

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 and developing scalable data pipelines using Python and SQL.
Experience with cloud-based data platforms and modern data architectures.
Strong understanding of data modelling, data integration, and data quality principles.
Proven experience delivering technical projects in complex business environments.
Excellent communication, collaboration, and stakeholder management skills.
Ability to work effectively with global teams across multiple functions and geographies.
Hands-on experience with Databricks and Apache Spark.
Experience with Delta Lake, Unity Catalog, and Lakehouse architecture principles.
Experience with Microsoft Azure data services.
Experience supporting AI, Data Science, Machine Learning, or advanced analytics initiatives.
Experience integrating Operational Technology (OT) and Information Technology (IT) systems and data.
Experience within Medical Devices, Pharmaceuticals, Life Sciences, Manufacturing, or other regulated industries.
Knowledge of MES, SCADA, Historian, ERP, or other industrial systems.
Experience implementing data governance and data management frameworks.