Manager, Data Engineer – AI and AutomationPfizer Newbridge, County Kildare, IrelandRole SummaryPfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world.Pfizer is seeking a highly skilled and motivated AI Engineer to join our advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in our Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes.Role ResponsibilitiesLead data modeling and engineering efforts within advanced data platforms teams to achieve digital outcomes.Provide guidance and may lead/co-lead moderately complex projects.Oversee the development and execution of test plans, creation of test scripts, and thorough data validation processes.Lead the architecture, design, and implementation of Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.Develop complex data products that benefit PGS and ensure reusability across the enterprise.Collaborate effectively with contractors to deliver technical enhancements.Oversee the development of automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency.Conduct root cause analysis and address production data issues.Design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer's projects.Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives.Document and present findings, methodologies, and project outcomes to various stakeholders.Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.Work with large and complex datasets, including data cleaning, preprocessing, and feature selection.Basic QualificationsA bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline.Over 4 years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations.Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred.Strong understanding of data structures, algorithms, and software design principles.Proficiency in Python, SQL, and familiarity with Java or Scala.Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect, and ability to use GenAI or Agents to augment data engineering practices.Preferred QualificationsExperience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake.Knowledge of ETL tools such as Apache NiFi, Talend, or Informatica.Familiarity with Hadoop, Spark, and Kafka for big data processing.Hands-on experience with cloud platforms such as AWS, Azure, or GCP.Understanding of Docker and Kubernetes for containerization and orchestration.Skills in integrating data from various sources, including APIs, databases, and external files.Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.Proficiency in handling structured and unstructured data sources.Additional InformationOccasional travel required. Work location is hybrid. The annual base salary ranges from $96,300 to $160,500, with eligibility for bonuses, long-term incentives, and comprehensive benefits. Relocation assistance may be available.
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