{"id":1075792,"url":"https://alion.io/job/abbott-laboratories-senior-data-engineer","title":"Senior Data Engineer","company":{"id":2710,"name":"Abbott Laboratories","domain":"abbott.com","url":"https://alion.io/company/abbott","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":99,"ghost_share":0.01,"stale_share":0,"repost_share":0.03,"time_to_fill_p50_days":15,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sligo, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":157000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1536},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-04T00:00:00Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-01T03:27:51Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"description":"JOB DESCRIPTION:\nAbout Abbott\nAbbott 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 122,000 colleagues serve people in more than 160 countries.\nAbbott in Ireland\nAbbott 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 6,500 people across ten sites located in Dublin, Donegal, Clonmel, Cootehill, Galway, Kilkenny, Longford and Sligo.\nPlease 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.\nJoin Our Digital, Data & AI Team in Abbott Sligo\nShape the future of Life Sciences through Data, Digital Innovation, and Artificial Intelligence.\nWe're 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.\nThis is an exciting opportunity to work at the intersection of biotechnology, pharmaceuticals, manufacturing, data, and emerging technologies. You'll play a key role in driving digital transformation initiatives that enhance operational excellence, improve decision-making, accelerate innovation, and deliver meaningful business outcomes.\nWe're 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.\nAt Abbott Diabetes Care we develop and manufacture leading-edge technologies that help people manage diabetes more effectively. As we continue to expand our digital and data capabilities, we are seeking a Senior Data Engineer to join our team in Sligo and play a key role in advancing our Data, AI & Analytics strategy.\nPurpose of the Role\nThe 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.\nOperating 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.\nThis 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 Abbott's Data, AI & Analytics strategy, driving the adoption of advanced analytics, AI, self-service reporting, and business intelligence solutions.\nFlexibility in working hours is required to support collaboration across global teams and business priorities.\nKey Responsibilities\nData Engineering Strategy & Delivery\nDesign, develop, and maintain scalable data products, pipelines, and platforms that support business, analytics, and AI use cases.\n\nTranslate business and data product requirements into robust technical solutions that create measurable business value.\n\nDevelop reusable and scalable data assets that improve accessibility, consistency, and efficiency across the enterprise.\n\nEnsure data platforms and solutions can support increasing volumes, complexity, and future AI requirements.\n\nContribute to the evolution of Abbott's modern data architecture and enterprise data ecosystem.\n\nData Quality, Governance & Reliability\nImplement data quality controls, monitoring, and validation processes to ensure trusted and reliable data products.\n\nPartner with Data Product Leads and Data Governance teams to establish data ownership, stewardship, and accountability practices.\n\nEnsure compliance with data governance, security, privacy, and regulatory requirements.\n\nSupport the implementation of enterprise Data Quality Frameworks and continuous improvement initiatives.\n\nDevelop solutions that improve data consistency, availability, integrity, and traceability.\n\nAI, Analytics & Digital Enablement\nBuild data foundations that support advanced analytics, machine learning, AI, automation, and self-service reporting solutions.\n\nCollaborate with Data Scientists to enable scalable deployment and operationalisation of analytical models and AI solutions.\n\nSupport the development of trusted datasets that accelerate insight generation and decision-making.\n\nIdentify opportunities to simplify, automate, and modernise data processes and capabilities.\n\nPromote adoption of modern data engineering practices that improve organisational agility and innovation.\n\nStakeholder Collaboration & Leadership\nPartner with business stakeholders to understand challenges, priorities, and data requirements.\n\nCollaborate closely with Data Product Leads, Data Scientists, Architects, and IT partners to deliver integrated solutions.\n\nCommunicate technical concepts effectively to non-technical audiences.\n\nInfluence technical direction and promote engineering best practices across the organisation.\n\nMentor and support junior engineers while fostering a culture of technical excellence and continuous learning.\n\nInnovation & Continuous Improvement\nStay informed on emerging technologies, modern data architectures, cloud platforms, and AI-enabled capabilities.\n\nEvaluate and recommend innovative approaches that improve business outcomes and operational efficiency.\n\nContribute to building a data-driven culture through knowledge sharing and technical leadership.\n\nSupport initiatives that improve organisational data literacy and confidence in enterprise data assets.\n\nEducation and Experience\nBachelor’s degree in computer science, Data Engineering, Software Engineering, Information Systems, or related discipline.\n\nSignificant experience designing and delivering enterprise-scale data engineering solutions.\n\nStrong experience with AWS Cloud technologies, Databricks, Oracle databases, Python, Spark, and SQL.\n\nExperience implementing Data Governance and Data Quality practices.\n\nExperience supporting AI, machine learning, analytics, and reporting solutions.\n\nStrong understanding of modern data architectures, data modelling, metadata, lineage, and data management principles.\n\nExperience working in highly regulated environments requiring compliance with data integrity, quality, privacy, and regulatory requirements.\n\nEssential\nExperience within Life Sciences, Pharmaceutical, Medical Device, Biotechnology, or Healthcare industries.\n\nStrong stakeholder management and communication skills.\n\nDemonstrated experience delivering data engineering solutions that enable business value, analytics, automation, and AI outcomes.\n\nExperience working within cross-functional teams across business and technology environments.\n\nDemonstrated ability to translate business requirements into scalable data solutions.\n\nIntellectual curiosity, innovation mindset, and passion for continuous improvement.\n\nProven experience operating within highly regulated Life Sciences, Pharmaceutical, Medical Device, Biotechnology, or Healthcare environments. Strong understanding of GxP requirements, 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.\n\nPreferred\nExperience within healthcare, medical devices, pharmaceuticals, or other regulated industries.\n\nExperience with cloud platforms and modern data architectures.\n\nFamiliarity with AI, machine learning, and advanced analytics environments.\n\nExperience leading technical projects or mentoring team members.\n\nWhat we Offer\nAttractive compensation package that includes competitive pay, as well as benefits such as\nFamily health insurance,\n\nExcellent pension scheme\n\nLife assurance\n\nCareer Development\n\nGrowing business plus access to many more benefits.\n\nConnect 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.\nAbbott is an equal opportunities employer.\nThe base pay for this position is\nN/AIn specific locations, the pay range may vary from the range posted.\nJOB FAMILY:\nOperations QualityDIVISION:\nADC Diabetes CareLOCATION:\nIreland > Sligo : Castle StreetADDITIONAL LOCATIONS:\nWORK SHIFT:\nIe - Dl39S9 (Ireland)TRAVEL:\nYes, 10 % of the TimeMEDICAL SURVEILLANCE:\nYesSIGNIFICANT WORK ACTIVITIES:\nNot Applicable","description_format":"text","description_chars":9345,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Health insurance"],"hiring_locations":[{"name":"Ireland","iso":"IE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology","Prescription Drugs","Cardiovascular Devices","Neurotech & Neuromodulation"],"lifecycle":[{"event":"open","at":"2026-09-20T11:34:10Z"}],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":1,"p_active":0.591,"p_room":0.45,"age_days":27,"expected_fill_days":15,"reasons":["conf:2","velocity","win:tail","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/abbott-laboratories-senior-data-engineer","json_url":"https://alion.io/job/abbott-laboratories-senior-data-engineer.json","meta":{"generated_at":"2026-10-01T10:38:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1757,"day_limit":5000,"remaining_today":3243,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}