{"id":1254654,"url":"https://alion.io/job/abbott-laboratories-senior-data-engineer-2","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":83,"ghost_share":0,"stale_share":0,"repost_share":0.012,"time_to_fill_p50_days":15,"computed_at":"2026-09-28T05:45:00Z"}},"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":["Kilkenny, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":147000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1254},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-25T18:48:22Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-28T04:06:48Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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 114,000 colleagues serve people in more than 160 countries.\nAbbott in Ireland\nAbbott 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.\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.\nAbbott Diabetes Care Kilkenny\nAbbott 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.\nThis is how you can make a difference at Abbott:\nThis 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.\nAs 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.\nIf 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.\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines and data products supporting engineering, manufacturing, quality, and operational analytics.\nDevelop robust ETL/ELT frameworks to ingest, transform, and deliver data from a wide range of enterprise and manufacturing systems.\nImplement and optimize cloud-based data solutions using Databricks, Apache Spark, and modern Lakehouse architecture principles.\nEnsure data quality, reliability, security, and governance across the entire data lifecycle.\nCreate reusable, maintainable, and well-documented data engineering solutions that support long-term business scalability.\nLead Databricks Development\nPlay a key role in the evolution of our Databricks platform and broader data ecosystem.\nDevelop solutions using Databricks, Delta Lake, Spark, Python, and SQL.\nEstablish engineering standards, development practices, monitoring frameworks, and deployment processes.\nInfluence platform architecture and design decisions that support analytics, machine learning, and AI use cases.\nCollaborate with IT, infrastructure, and cybersecurity teams to ensure secure and compliant platform operations.\nEnable Data-Driven Manufacturing\nIntegrate data from manufacturing and business systems, including MES, SCADA, Historian, ERP, laboratory, equipment, and quality systems.\nSupport Industry 4.0 and Smart Manufacturing initiatives through advanced data integration and analytics capabilities.\nIdentify trends, opportunities, and performance improvements from complex engineering and operational datasets.\nBuild trusted data foundations that enable reporting, advanced analytics, machine learning, and AI solutions.\nDeliver Strategic Project s\nLead multiple concurrent projects from concept through deployment.\nManage project scope, timelines, risks, and stakeholder expectations.\nCollaborate with engineering, operations, quality, IT, and business teams across multiple global regions.\nTranslate business challenges into scalable technical solutions that deliver measurable value.\n\nProvide Technical Leadership\nAct as a subject matter expert for data engineering and modern data platform technologies.\nMentor and support engineers, analysts, and data professionals across the organisation.\nDrive adoption of industry best practices and emerging technologies.\nContribute to the long-term Engineering Data & Analytics strategy and roadmap.\nEducation & Experience\nBachelor's degree in Engineering, Computer Science, Data Engineering, Software Engineering, Mathematics, Statistics, or a related technical discipline.\nSignificant experience in Data Engineering, Data Platform Development, or Industrial Analytics.\nStrong experience designing and developing scalable data pipelines using Python and SQL.\nExperience with cloud-based data platforms and modern data architectures.\nStrong understanding of data modelling, data integration, and data quality principles.\nProven experience delivering technical projects in complex business \nenvironments.\nExcellent communication, collaboration, and stakeholder management skills.\nAbility to work effectively with global teams across multiple functions and geographies.\nHands-on experience with Databricks and Apache Spark.\nExperience with Delta Lake, Unity Catalog, and Lakehouse architecture principles.\nExperience with Microsoft Azure data services.\nExperience supporting AI, Data Science, Machine Learning, or advanced analytics initiatives.\nExperience integrating Operational Technology (OT) and Information Technology (IT) systems and data.\nExperience within Medical Devices, Pharmaceuticals, Life Sciences, Manufacturing, or other regulated industries.\nKnowledge of MES, SCADA, Historian, ERP, or other industrial systems.\nExperience implementing data governance and data management frameworks.\nWhat we Offer\nAttractive compensation package that includes competitive pay, as well as benefits such as\nFamily health insurance,\nExcellent pension scheme\nLife assurance\nCareer Development\nFantastic new facility\nGrowing business plus access to many more benefits.\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:\nEngineeringDIVISION:\nADC Diabetes CareLOCATION:\nIreland > Kilkenny : Kilkenny Business and Technology ParkADDITIONAL LOCATIONS:\nWORK SHIFT:\nIe - Kkyflx (Ireland)TRAVEL:\nYes, 10 % of the TimeMEDICAL SURVEILLANCE:\nYesSIGNIFICANT WORK ACTIVITIES:\nNot Applicable","description_format":"text","description_chars":6891,"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":["Health insurance"],"hiring_locations":[{"name":"Ireland","iso":"IE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Cardiovascular Devices","Diabetes Devices","Neurotech & 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