Senior Data Engineer

     

JOB DESCRIPTION:

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
 

Senior Data Engineer

Abbott Diabetes Care in Donegal is seeking an experienced Senior Data Engineer to lead data engineering initiatives that drive our manufacturing, quality, and operational excellence as we accelerate our digital transformation journey. This role is ideal for a hands‑on technical leader with strong Oracle PL/SQL expertise and modern AWS cloud experience.

Your Impact

• Improve manufacturing performance: Enable better visibility of WIP, equipment health, yield, and quality trends through reliable data pipelines.

• Enhance operational decision‑making: Deliver timely, trusted data that empowers engineers, analysts, and leadership to drive process improvements.

• Raise engineering standards: Set best practices, uplift team capability, and build a high‑performing data culture.

What You’ll Do

• Drive a data engineering strategy focused on delivering high‑quality, scalable data solutions.

• Design and maintain ETL/ELT pipelines using Oracle PL/SQL and AWS data services.

• Manage and optimise data warehouses supporting manufacturing operations.

• Work closely with Operations, Quality, and IT to deliver reliable, compliant data systems.

• Ensure data integrity and support validated/GxP environments.

• Translate business needs into technical requirements and drive end‑to‑end delivery.

What You Bring

• 10+ years of experience with Oracle, strong PL/SQL, and data warehousing.

• Professional experience building cloud data solutions on AWS (S3, Glue, Redshift, Lambda) and Databricks.

• Background in manufacturing, medical devices, semiconductor, or regulated environments.

• Proven ability to lead and mentor data engineering teams.

• Strong communication skills and stakeholder engagement.

• Experience with ETL design, performance tuning, and operational support.

Nice to Have

• Experience with Kafka or event‑driven architectures.

• Exposure to MES/SCADA or factory data systems.

• Python for data engineering automation.

 Why Abbott in Donegal?

• Thrive Where You Live : Experience the perfect blend of professional challenge and personal wellbeing in Donegal—an area of outstanding natural beauty along the Wild Atlantic Way.

• Make a Global Impact : Join a purpose-driven mission that improves lives worldwide through innovative diabetes care solutions.

• Work at the Cutting Edge : Be part of a state-of-the-art manufacturing facility embracing Industry 4.0 technologies and smart, sustainable production.

• Grow with Us : Thrive in a culture that champions talent, development, and collaboration. Your growth is our priority.

• Enjoy Competitive Rewards : Benefit from a comprehensive package that supports your career and lifestyle, with long-term opportunities across Abbott’s global network.

“Join us in shaping the digital future of manufacturing, where your data engineering expertise will power smarter operations, seamless automation, and the next generation of data‑driven decision making”

Connect with us at www.abbott.com and on LinkedIn, Facebook, Instagram, X and YouTube.

     

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 > Donegal Town : R267

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Ie - Dl39S8.3 (Ireland)

     

TRAVEL:

Not specified

     

MEDICAL SURVEILLANCE:

Yes

     

SIGNIFICANT WORK ACTIVITIES:

Not Applicable