Senior Data Engineer - AWS & Oracle for Manufacturing

Abbott Laboratories; Donegal; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Competitive rewards

Global opportunities

State-of-the-art facility

Culture of development

Job summary

Abbott Diabetes Care in Donegal is seeking a Senior Data Engineer to lead data initiatives for manufacturing, quality and operations. You will build reliable data pipelines using Oracle PL/SQL and AWS services, and mentor a team to raise engineering standards in a regulated site.

You’ll enable visibility into WIP, equipment health and quality trends, partnering with Operations, Quality and IT to deliver compliant, scalable data solutions for a next-generation manufacturing environment.

Qualifications

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

Responsibilities

• 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.

Skills

Oracle PL/SQL

AWS data services

Databricks

Data warehousing

Leadership

Stakeholder management

ETL design

Python

Tools

AWS S3

AWS Glue

AWS Redshift

AWS Lambda

Databricks

Job description

Abbott Diabetes Care in Donegal is seeking a Senior Data Engineer to lead data initiatives for manufacturing, quality and operations. You will build reliable data pipelines using Oracle PL/SQL and AWS services, and mentor a team to raise engineering standards in a regulated site.

You’ll enable visibility into WIP, equipment health and quality trends, partnering with Operations, Quality and IT to deliver compliant, scalable data solutions for a next-generation manufacturing environment.