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Job Description

About the role:

As the Senior Data Engineer, you will design and operate enterprise‑grade data pipelines that power analytics and AI for manufacturing and quality. Based at our Biologics site in Thousand Oaks (TO), CA, this role reports to the  TO Head of Data Digital & Technology (DD&T) and partners with site teams and global DD&T colleagues. You’ll lead cross‑functional initiatives to standardize data ingestion and modeling, ensure data quality and governance, and deploy secure, scalable solutions—while mentoring engineers and driving globally aligned practices.

How you will contribute:

• Design and optimize data pipelines (ETL/ELT, batch/stream) using DD&T platforms like Databricks and Dataiku, ensuring strong observability and reliability.

• Develop reusable ingestion and transformation patterns to standardize processes and minimize redundant work across sites.

• Create and maintain modular data models (e.g., lakehouse/medallion) and semantic layers aligned with global architecture standards.

• Ensure data quality and compliance by implementing validation controls, governance frameworks, and audit-ready practices for regulated environments.

• Deploy and operate data services in cloud environments (AWS/Azure) using CI/CD, IaC, and DataOps best practices for performance and scalability.

• Collaborate with stakeholders—including product owners, data scientists, and global teams—to translate requirements into robust engineering solutions.

• Document and share technical designs and best practices, contributing to engineering standards and promoting reusability across programs.

• Provide technical leadership and mentorship, guiding engineers, reviewing designs/code, and influencing global best practices.

Minimum Requirements/Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field, or equivalent experience in data engineering/digital product development.

• Technical Skills:

  • In depth programming in Python, Java, or Scala.

  • Experience with data modeling, big data technologies (e.g., Hadoop, Spark), and database systems (SQL/NoSQL).

  • Familiarity with data warehousing and cloud platforms (AWS/Azure).

• Certifications: AWS Data Engineering or Cloud certification (preferred: AWS Certified Data Engineer / Architect Associate; Databricks Certified Data Engineer Professional).

• Tools & Frameworks: Hands-on experience with Dataiku and/or Databricks; knowledge of CI/CD and Agile/SAFe practices.

• Other: Strong analytical/problem-solving skills, proficiency in data visualization, and ability to work in multi-stakeholder, agile environments with a collaborative, professional attitude.

More about us:

At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.

Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. 

For Location:

USA - CA - Thousand Oaks - Rancho Conejo

U.S. Base Salary Range:

$111,800.00 - $175,670.00

The estimated salary range reflects an anticipated range for