Data Engineer
Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 5, 2026. Takeda Pharmaceutical scores A on the Alion truth index.
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
Job Description
About the role:
The Data Engineer collaborates with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions. This role focuses on integrating and managing data to generate insights, enabling advanced data-driven decision-making capabilities.
How you will contribute:
* Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
* Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various data tools in the Big Data Environment
* Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value
* Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity
* Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
* Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives
* Mentor and coach other data and analytic professionals on data standards and practices
Skills and qualifications:
* Expert in designing and maintaining scalable data architectures, capable of handling complex data systems.
* Proficient in SQL and other data manipulation languages, with a strong ability to optimize and troubleshoot queries.
* Skilled in DevOps practices and continuous integration to enhance workflow efficiencies.
* Experienced in software development methodologies, contributing to both project and operational goals.
* Knowledgeable in data structures and algorithms, enhancing data processing and storage solutions.
* Familiar with distributed data technologies like Spark and Hadoop, capable of managing large-scale data operations.
* Efficient in system integration, ensuring seamless data flow and connectivity across platforms.
* Proficient in programming languages such as Python, Scala, Java, and C++, applying them effectively in data engineering tasks.
* Experienced in SQL database management, performance tuning, and complex query handling.
* Skilled in cloud platform deployment and tools like Kubernetes, optimizing cloud-based data solutions.
* Capable of performing advanced troubleshooting and guiding others through complex problem-solving processes.
* Advanced in PL/SQL and MongoDB, providing guidance and advice on complex database programming and optimization.
R&D domain knowledge in clinical and product engineering data, data engineering and ETL, cloud and application architecture, computerized system validation (CSV), SDLC and release management, operational support of R&D digital platforms
As an experienced professional, you specialize in solving various complex problems, sometimes referring to established precedents and policies. Your work involves analyzing diverse data and selecting appropriate methods for solutions, while networking with senior professionals in your field. You possess a complete understanding of principles, concepts, and industry practices, exerting some influence on organizational objectives. You often work independently under general direction, occasionally leading small project teams, and may represent the organization in contractual or project matters, interacting with senior internal and external personnel. You might also participate in training junior staff.