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Job Description

JOB DESCRIPTION

Data Engineer, DevOps Data Engineering, Takeda Japan Innovation Center (TJIC)

The Future Begins Here

At Takeda, we are leading the digital transformation globally in the biopharmaceutical industry, leveraging technology to transform the way we develop and deliver life-changing treatments for patients. We are looking for talented individuals like you to join our dynamic team

As we strive to become one of the most trusted, science-driven digital biopharmaceutical companies in the world, data, digital and technology (DD&T) are deeply embedded in all we do.

To accelerate our transformation, we continue our investment in data, digital and technology and further growing our digital capabilities in Japan. Our aim is to embed DD&T across our organization, to create a future-ready organization meeting the evolving needs of patients, our people, and the planet.

This is a role belong to our Global DD&T function in Japan. In this role, you will have the opportunity to boost your skills and become a part of a mission that makes a real difference on lives around the world.

At Takeda We Unite in Diversity

Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team

THE OPPORTUNITY:

As a DevOps Data Engineer at Takeda, you will play a crucial role in developing and maintaining reliable data pipelines that power critical, data-driven insights. Working in an Agile environment, you will focus on ensuring data integrity, efficiency, and the smooth functioning of our data ecosystem. Your contributions will help transform raw information into actionable solutions that support Takeda's mission.

OBJECTIVES/PURPOSE:

• Design, build, optimize, and manage data architectures and ETL pipelines aligned with business needs.

• Oversee data flows, troubleshoot pipeline issues, and ensure consistent delivery of data across multiple environments.

• Employ advanced SQL queries for effective database management, data extraction, and performance tuning.

• Utilize AWS services and Databricks to process and analyze large-scale structured and unstructured data.

• Implement Informatica IICS and Master Data Management (MDM) solutions to improve data governance and quality.

RESPONSIBILITIES:

• Develop and maintain data pipelines to support business needs.

• Oversee day-to-day data operations, ensuring data integrity and efficiency.

• Utilize advanced SQL for database management and performance tuning.

• Integrate AWS services and Databricks for data processing and analysis.

• Implement Informatica IICS and MDM solutions for data governance.

• Collaborate with business analysts and solutions architects to design scalable data solutions.

• Uphold high standards of data accuracy and adopt DevOps practices.

• Encourage exploration of new technologies to enhance data operations.

SKILLS & QUALIFICATIONS:

Essential:

• Advanced SQL mastery with proficiency in complex queries and performance optimization.

• Experience with sophisticated data structures, ETL frameworks, and modern development methodologies.

• Hands-on experience with AWS services for data storage, orchestration, and analytics.

• Familiarity with Databricks for big data processing, analytics, and collaboration.

• Knowledge of Informatica IICS and MDM solutions for robust data integration and governance.

• Experience in implementing continuous integration, delivery, and deployment pipelines.

• Effective communication skills for working with cross-functional teams.

• Strong problem-solving and optimization abilities.

Preferred to have:

• Ability to propose policy updates and shape data engineering best practices within the organization.

• Passion for leveraging cutting-edge tools and driving operational excellence.

If you are passionate about leveraging cutting-edge tools and driving operational excellence, we encourage you to apply for this exciting opportunity at Takeda.

WHAT TAKEDA JAPAN CAN OFFER YOU:

• Takeda is certified as a Top Employer, not only in Japan, but also globally. No investment we make pays greater dividends than taking good care of our people.

• At Takeda, you take the lead on building and shaping your own career.

• Joining the DD&T in Japan will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.

Click here to find out Takeda's Diversity, Equity & Inclusion

Better Health, Brighter Future

待遇

• 諸手当:通勤交通費、借家補助費、勤務時間外手当など

• 昇給:原則年1回、賞与:原則年2回

• 勤務時間:本社(大阪市中央区・東京都中央区)9:00~17:30、工場(山口県光市・大阪市淀川区)8:00~16:45 、(千葉県成田市)8:30~17:15 、 研究所(神奈川県藤沢市)9:00~17:45

• 休日:土曜、日曜、祝日、メーデー、年末年始など(年間123日程度)

• 休暇:年次有給休暇、特別有給休暇、傷病休暇、ファミリーサポート休暇、産前産後休暇、育児休暇、子の看護休暇、介護休暇

• 働き方関連制度:フレックスタイム制、テレワーク勤務制導入(対象社員)

• 福利厚生: 社会保険制度、退職金・企業年金制度、従業員持株制度等

労働条件に関する重要事項

• 業務内容については入社後に会社の定める業務への変更もあり得ます。

• 配属先および就業場所に関しては、入社後に会社の定める部署および就業場所への変更もあり得ます。

Takeda Compensation and Benefits Summary:

• Allowances: Commutation, Housing, Overtime Work etc.

• Salary Increase: Annually, Bonus Payment: Twice a year

• Working Hours: Headquarters (Osaka/ Tokyo) 9:00-17:30, Production Sites (Osaka/ Yamaguchi) 8:00-16:45, (Narita) 8:30-17:15, Research Site (Kanagawa) 9:00-17:45

• Holidays: Saturdays, Sundays, National Holidays, May Day, Year-End Holidays etc. (approx. 123 days in a year)

• Paid Leaves: Annual Paid Leave, Special Paid Leave, Sick Leave, Family Support Leave, Maternity Leave, Childcare Leave, Family Nursing Leave.

• Flexible Work Styles: Flextime, Telework

• Benefits: Social Insurance, Retirement and Corporate Pension, Employee Stock Ownership Program, etc.

Important Notice concerning working conditions:

• It is possible the job scope may change at the company's discretion.

• It is possible the department and workplace may change at the company's discretion.

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