Sr. Data Engineer - Analytical Development

Job Description The AD Technology Development and Implementation team at Takeda is searching for a Data Sr. Staff Engineer to contribute to the design, implementation, and deployment of event‑driven ETL pipelines with AWS to ingest and process structured and unstructured laboratory records. Our team strives to analyze laboratory method characterization data using modern data platforms, standard methodologies, and predictive modeling. Typical Responsibilities Develop and maintain the Analytical Development (AD) digital transformation road map, delivering vision, roadmap, projects, and timelines to support the transformation of analytical laboratory results. Support large database activities and design/maintain open‑source code extraction algorithms. Assume technical ownership on digital transformation projects, including data analytics and predictive modeling, dashboards using Spotfire, Tableau, Power BI, and open‑source coding (R and Python). Develop and maintain core software engineering infrastructure within data platform engineering & operations, including data wrangling, data logging, performance benchmarking, and multi‑platform integration. Contribute to multiple software engineering efforts, including data engineering/analytic pipelines and data platforms. Coordinate with other development teams to promote collaborative data management efforts, interoperability, and shared infrastructure. Monitor data capture systems to identify inefficiencies and remove bottlenecks. Support internal & external R&D projects, working with domain experts to mature POCs into production‑quality tools. Qualifications and What You Bring to Takeda B.S. degree in computer science, software engineering, or related field with 11+ years of relevant industry experience, or M.S. with 9+ years, or Ph.D. with 3+ years. Minimum of 8 years of combined experience in an analytical environment utilizing SQL, cloud environments, AWS, Python, Dev‑Ops, and R Studio. Experience with ETL pipelines, data pre‑processing, and statistical concepts; ability to work in multiple languages (Python, R, Scala, C/C++, SQL). Exposure to cloud computing environments and technologies in the data & analytics engineering domain (Spark, Databricks, data lakes, QA tools, ML tools) is a plus. Strong understanding of analytical software (Spotfire, Minitab, MATLAB) and demonstrated experience contributing to and maintaining multi‑contributor software projects (open or closed source), pipelines, and enterprise systems. Previous direct involvement in technology implementations for biologics, pharmaceuticals, or devices, either in manufacturing operations or support functions, is highly desirable. Experience interacting with vendors, integrators, and consultants during front‑end studies, design workshops, and system implementation. Ability to collaborate with coworkers and work within multi‑functional teams of developers, engineers, and scientists. Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. #J-18808-Ljbffr Takeda