Senior Data Engineer

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 122000 colleagues serve people in more than 160 countries.

Abbott in Ireland

Abbott has maintained a strong presence in Ireland since 1946 and celebrates its 80th anniversary in the country in 2026. The company supports the Irish healthcare sector with a broad portfolio spanning diagnostics diabetes care medical devices and nutritional products. Today Abbott employs more than 6500 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.

Join Our Digital Data & AI Team in Abbott Sligo

Shape the future of Life Sciences through Data Digital Innovation and Artificial Intelligence.

Were growing our Digital Data & AI team in Sligo and are seeking talented professionals who combine strong technical expertise with a deep understanding of the Life Sciences industry.

This is an exciting opportunity to work at the intersection of biotechnology pharmaceuticals manufacturing data and emerging technologies. Youll play a key role in driving digital transformation initiatives that enhance operational excellence improve decision-making accelerate innovation and deliver meaningful business outcomes.

Were particularly interested in candidates who bring experience from pharmaceutical biotechnology medical device or other regulated Life Sciences environments and are passionate about leveraging data and AI to solve complex challenges.

At Abbott Diabetes Carewe develop and manufacture leading-edge technologies that help people manage diabetes we continue to expand our digital and data capabilities we are seeking a Senior Data Engineerto join our team in Sligo and play a key role in advancing our Data AI & Analytics strategy.

Purpose of the Role

The Senior Data Engineer is responsible for designing building and enabling scalable data products platforms and capabilities that deliver measurable business value across Abbott Diabetes Care.

Operating at the intersection of data technology and business this role transforms complex data into trusted accessible and reusable assets that power analytics reporting automation artificial intelligence and operational decision-making. Working closely with business stakeholders Data Product Leads architects data scientists and IT partners you will ensure data solutions align with strategic priorities while meeting enterprise standards for quality governance security and scalability.

This is a unique opportunity to shape and build foundational data capabilities from the ground up. The successful candidate will establish and embed standard work create and maintain SOPs and develop scalable end-to-end processes that support consistent high-quality data management across the organisation. Through these efforts you will play a key role in enabling Abbotts Data AI & Analytics strategy driving the adoption of advanced analytics AI self-service reporting and business intelligence solutions.

Flexibility in working hours is required to support collaboration across global teams and business priorities.

Key Responsibilities

Data Engineering Strategy & Delivery

• Design develop andmaintainscalable data products pipelines and platforms that support business analytics and AI use cases.

• Translate business and data product requirements into robust technical solutions that create measurable business value.

• Develop reusable and scalable data assets that improve accessibility consistency and efficiency across the enterprise.

• Ensure data platforms and solutions can support increasing volumes complexity and future AI requirements.

• Contribute to the evolution of Abbotts modern data architecture and enterprise data ecosystem.

Data Quality Governance & Reliability

• Implement data quality controls monitoring and validation processes to ensure trusted and reliable data products.

• Partner with Data Product Leads and Data Governance teams toestablishdata ownership stewardship and accountability practices.

• Ensure compliance with data governance security privacy and regulatory requirements.

• Support the implementation of enterprise Data Quality Frameworks and continuous improvement initiatives.

• Develop solutions that improve data consistency availability integrity and traceability.

AI Analytics & Digital Enablement

• Build data foundations that support advanced analytics machine learning AI automation and self-service reporting solutions.

• Collaborate with Data Scientists to enable scalable deployment and operationalisation of analytical models and AI solutions.

• Support the development of trusted datasets that accelerate insight generation and decision-making.

• Identifyopportunities to simplify automate and modernise data processes and capabilities.

• Promote adoption of modern data engineering practices that improve organisational agility and innovation.

Stakeholder Collaboration & Leadership

• Partner with business stakeholders to understand challenges priorities and data requirements.

• Collaborate closely with Data Product Leads Data Scientists Architects and IT partners to deliver integrated solutions.

• Communicate technical concepts effectively to non-technical audiences.

• Influence technical direction and promote engineering best practices across the organisation.

• Mentor and support junior engineers while fostering a culture of technical excellence and continuous learning.

Innovation & Continuous Improvement

• Stay informed on emerging technologies modern data architectures cloud platforms and AI-enabled capabilities.

• Evaluate and recommend innovative approaches that improve business outcomes and operational efficiency.

• Contribute to building a data-driven culture through knowledge sharing and technical leadership.

• Support initiatives that improve organisational data literacy and confidence in enterprise data assets.

Education and Experience

• Bachelors degree in computer science Data Engineering Software Engineering Information Systems or related discipline.

• Significantexperience designing and delivering enterprise-scale data engineering solutions.

• Strongexperience with AWS Cloud technologies Databricks Oracle databases Python Spark and SQL.

• Experienceimplementing Data Governance and Data Quality practices.

• Experiencesupporting AI machine learning analytics and reporting solutions.

• Strongunderstanding of modern data architectures data modelling metadata lineage and data management principles.

• Experienceworking in highly regulated environments requiring compliance with data integrity quality privacy and regulatory requirements.

Essential

• Experience within Life Sciences Pharmaceutical Medical Device Biotechnology or Healthcare industries.

• Strong stakeholder management and communication skills.

• Demonstrated experience delivering data engineering solutions that enable business value analytics automation and AI outcomes.

• Experience working within cross-functional teams across business and technology environments.

• Demonstrated ability to translate business requirements into scalable data solutions.

• Intellectual curiosity innovation mindset and passion for continuous improvement.

• Proven experienceoperatingwithin highly regulated Life Sciences Pharmaceutical Medical Device Biotechnology or Healthcare environments. Strong understanding ofGxPrequirements Computer System Validation (CSV) FDA 21 CFR Part 11 EU Annex 11 Data Integrity principles (ALCOA) Quality Management Systems and regulatory expectations governing the development management and use of data analytics and AI solutions.

Preferred

• Experience within healthcare medical devices pharmaceuticals or other regulated industries.

• Experience with cloud platforms and modern data architectures.

• Familiarity with AI machine learning and advanced analytics environments.

• Experience leading technical projects or mentoring team members.

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

• Growing business plus access to many more benefits.

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Abbott is an equal opportunities employer.

The base pay for this position is

In specific locations the pay range may vary from the range posted.