Senior Data Engineer

Thornton Tomasetti; Kilkenny; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Family health insurance

Pension scheme

Life assurance

Career development

New facility

Benefits

Job summary

Abbott in Kilkenny, Ireland, is seeking a senior data engineer to design and deliver scalable data pipelines, lead Databricks development, and drive data-driven manufacturing and analytics across global operations.

You will mentor engineers, set engineering standards, collaborate with IT, cybersecurity, and manufacturing teams, and help shape the data & AI strategy. A Bachelor's in a technical field and hands-on experience with Databricks, Spark, Python, and Azure data services are required.

Qualifications

• Bachelor's degree in Engineering, Computer Science, Data Engineering, Software Engineering, Mathematics, Statistics, or related field.
• 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, ML, 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.

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: 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 such as MES, SCADA, Historian, ERP, laboratory, equipment, and quality systems.

Skills

Databricks

Apache Spark

Python

SQL

Data pipelines

Azure data services

Data analytics

OT/IT integration

Education

Bachelors in Engineering/CS/Data Eng

Tools

Databricks

Apache Spark

Delta Lake

Unity Catalog

Azure Data Services

Job description

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 isconditional upon the successful completionof 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.
• Experiencewith MicrosoftAzuredata services.
• Experience supportingAI , DataScience,ML, 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.

What we Offer

Attractive compensation package that includes competitive pay, as well as benefits such as

• Family health insurance
• Excellent pension scheme
• Life assurance
• Career Development
• Fantastic new facility
• Growing business plus access to many more benefits

Connect with us at www.abbott.com or https://www.ie.abbott/, on LinkedIn at www.linkedin.com/company/abbott-/, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews.

Abbott is an equal opportunities employer.

The base pay for this position is N/A In specific locations, the pay range may vary from the range posted.

JOB FAMILY: Engineering

DIVISION: ADC Diabetes Care

LOCATION: Ireland > Kilkenny : Kilkenny Business and Technology Park

ADDITIONAL LOCATIONS:

WORK SHIFT: Ie - Kkyflx (Ireland)

TRAVEL: Yes, 10 % of the Time

MEDICAL SURVEILLANCE: Yes

SIGNIFICANT WORK ACTIVITIES: Not Applicable

Abbott is about the power of health. For more than 135 years, Abbott has been helping people reach their potential - because better health allows people and communities to achieve more. With a diverse, global network serving customers in more than 160 countries, we create new solutions - across the spectrum of health, around the world, for all stages of life. Whether it’s next‑generation diagnostics, life‑changing devices, science‑based nutrition, or novel reformulations, we are advancing some of the most innovative and revolutionary technologies in healthcare, helping people live their best lives through better health. The people of Abbott come to work each day with relentless energy, enthusiasm and a promise to enhance the health and well‑being of millions of people. They push the boundaries to help manage and treat some of life’s greatest health challenges. We invite you to explore opportunities at Abbott, to see if your talents and career aspirations may fit with our openings. An equal opportunity employer, Abbott welcomes and encourages diversity in our workforce. Follow Us: Facebook LinkedIn YouTube Twitter