Job Advert Title: Senior Data Engineer
Location: Nihonbashi, Tokyo
Division: DigitalX
Employment Class: Permanent
Description
About Astellas:
Building your career at Astellas continues to offer inspiring challenges and a chance to make your mark in doing good for others.
Our open and progressive culture is what makes us Astellas.
It’s a culture of doing good for others and contributing to a sustainable society.
This opportunity is open to applications from residents in Mexico, India and Japan only.
About This Job:
As part of the Astellas commitment to delivering value for our patients, our organisation is currently undergoing transformation to achieve this critical goal. This is an opportunity to work on digital transformation and make a real impact within a company dedicated to improving lives.
DigitalX our new information technology function is spearheading this value driven transformation across Astellas. We are looking for people who excel in embracing change, manage technical challenges and have exceptional communication skills.
We are seeking committed and talented Senior Data Engineers, to join our new FoundationX team- which lies at the heart of DigitalX. As a member of our team within FoundationX, you will be responsible for ensuring our data driven systems are operational, scalable and continue to contain the right data to drive business value.
【Purpose & Scope】
As a Senior Data Engineer, you will play a crucial role in designing, building, and maintaining our data infrastructure. Your expertise in Databricks, PySpark, SQL and other related technologies, will be instrumental in driving data-driven decision-making across the organization. You will play a pivotal role in building maintaining and enhancing our systems across the organisation. This is a fantastic global opportunity to use your proven agile delivery skills across a diverse range of initiatives, utilise your development skills, and contribute to the continuous improvement/delivery of critical IT solutions.
【Essential Job Responsibilities】
（雇入れ直後）
• Data Pipeline Development: Design, build, and optimize data pipelines using Databricks and PySpark. Ensure data quality, reliability, and scalability.
• Application Transition: Support the migration of internal applications to Databricks (or equivalent) based solutions. Collaborate with application teams to ensure a seamless transition.
• Mentorship and Leadership: Lead and mentor junior data engineers. Share best practices, provide technical guidance, and foster a culture of continuous learning.
• Data Strategy Contribution: Contribute to the organization’s data strategy by identifying opportunities for data-driven insights and improvements.
• Participate in smaller focused mission teams to deliver value driven solutions aligned to our global and bold move priority initiatives and beyond.
• Design, develop and implement robust and scalable data analytics using modern technologies.
• Collaborate with cross functional teams and practises across the organisation including Commercial, Manufacturing, Medical, DataX, GrowthX and support other X (transformation) Hubs and Practices as appropriate, to understand user needs and translate them into technical solutions.
• Provide Technical Support to internal users troubleshooting complex issues and ensuring system uptime as soon as possible.
• Champion continuous improvement initiatives identifying opportunities to optimise performance security and maintainability of existing data and platform architecture and other technology investments.
• Participate in the continuous delivery pipeline. Adhering to DevOps best practises for version control automation and deployment. Ensuring effective management of the FoundationX backlog.
• Leverage your knowledge of data engineering principles to integrate with existing data pipelines and explore new possibilities for data utilization.
• Stay-up-to-date on the latest trends and technologies in data engineering and cloud platforms.
（変更の範囲）
会社内での全ての業務
【Specific Physical or Environmental Requirements】
Permanent position.
Remote/ Hybrid: candidates must be located within commutable distance from the office.
Astellas is a global company. Successful candidates will be expected to work across different time zones and according to regions or specific locations based upon demand.
【Essential Skills & Knowledge】
• Subject Matter Expertise: possess a strong understanding of data architecture/ engineering/operations/data model (eg. data vault, dimensional data model).
• Experience within Life Sciences/ Pharma /Manufacturing industry is preferred.
• Proven experience in building robust data pipeline; experience in (near) real-time processing is preferred.
• Technical Proficiency: Strong coding skills in PySpark and SQL.
• Experience in Databricks or Change Data Capture (eg. Fivetran) is preferred.
• Proven experience with data analytics practices and techniques and organizations
• Cloud Data Solutions: Familiarity with cloud platforms (AWS, Azure) and their data services
• Analytical Thinking: Demonstrated ability to lead complex analyses, identify performance gaps, and foster a culture of continuous improvement.
• Understand and Interpret business requirements and can term them into technical requirements.
• Agile Practices: Adherence to DevOps principles, automation, and a proven track record with CI/CD pipelines for continuous delivery. Experience working in Agile development environments, participating in sprint planning, stand-ups, and retrospectives.
【Qualifications】
Education:
• Bachelor's degree in computer science, information technology, or related field (or equivalent experience.)
• Certifications: Relevant certifications in Databricks, Azure, AWS or related technologies.
Experience:
• Minimum 5-7 years + experience in data engineering with a strong understanding of PySpark and SQL, building data pipelines and optimization.
• Minimum 5-7 years + experience in data engineering and integration tools (e.g., Databricks, Change Data Capture)
• Minimum 5-7 years + experience of utilizing cloud platforms (AWS, Azure, GCP). A deeper understanding/certification of AWS and Azure is considered a plus.
• Experience with relational and non-relational databases.
Preferred Skills & Knowledge:
• Cross-Cultural Experience: Work experience across multiple cultures and regions, facilitating effective collaboration in diverse environments.
• Innovation and Creativity: Ability to think innovatively and propose creative solutions to complex technical challenges.
• Global Perspective: Demonstrated understanding of global pharmaceutical or healthcare technical delivery, providing exceptional customer service and enabling strategic insights and decision-making.
• An eye for detail and good coding practices
• Continuous Learning: A commitment to staying up-to-date with industry trends and emerging technologies
【応募書類 / Application Documents】
和文履歴書・和文職務経歴書・英文レジュメ
Both Japanese and English Resumes are needed
【選考プロセス / Selection details】
書類選考 → 1次面接 → 2次面接 → 最終面接
※変更の可能性もございますので、予めご了承下さい。
CV screening → First interview → 2nd Interview → Final interview
*Please be advised that there might be a change in the process.
【勤務地 / Location】
（雇入れ直後）
東京都中央区 アステラス製薬 日本橋事業所 本社
Nihonbashi, Tokyo
（変更の範囲）
会社の定める事業場および自宅
【勤務開始日 / Start Date】
応相談
Will be decided according to the candidate's flexibility
【契約期間 / Contract Duration】
期間の定めなし
Not limited to specified period
【試用期間 / Probation Period】
試用期間原則なし
No probation period in principle
【給与 / Salary】
①基本給：当人の経歴・技術・技能等を考慮して決定
②裁量労働制の場合：裁量労働手当として職務グレードに応じて50,000～100,000円支給
③フレックスタイム制の場合：月間の所定労働時間を超えて勤務する時間に対して時間外勤務手当を支給
①Base salary: will be decided by the candidate's experience, skill and capability.
②When Discretionary Work System is applied: Discretionary work allowance will be paid.(50,000～100,000yen, based on the Grade)
③When Flextime System is applied: Overtime allowance will be paid for time worked in excess of prescribed working hours.
【昇給 / Salary Raise】
有り
【賞与 / Bonus】
有り
【諸手当 / Allowance】
裁量労働手当、住宅手当、通勤手当 等
Discretionary work allowance, Housing allowance, Commutation allowance, etc.
【勤務時間 / Working Hours】
8:45～17:45（月～木）、8:45～16:00（金）
裁量労働制の場合、所定労働時間を働いたものとみなす
8:45～17:45（Mon～Thu）、8:45～16:00（Fri）
Discretionary Work System
【休日 / Holidays】
完全週休２日制（土曜・日曜）、祝日、5月1日、夏季、年末年始
Weekends(Sat and Sun), holidays, May 1st, summer vacation, New Year holidays
【休暇 / Vacation Leave】
年次有給休暇、育児休業制度、介護休業制度 等
Annual paid leave, childcare leave system, nursing care leave system, etc.
【福利厚生 / Welfare】
雇用保険、労災保険、厚生年金、健康保険、共済会制度、社宅制度、持株会制度、財形貯蓄制度 等
Employment Insurance, Industrial Accident Compensation Insurance, Welfare Pension Insurance, Health Insurance, Mutual Aid Association System, Company Housing System, Employee Shareholder Association System, Property Accumulation Savings System
【アステラス製薬 採用サイト/ Career web site】
https://re-jp.astellas.com/jp/recruit/newgraduates/
For more information about Astellas, please visit our career web site.
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law."