Job Advert Title: Data Engineer FoundationX
Location: Nihonbashi, Tokyo
Division: DigitalX
Employment Class: Permanent
Description
【About This Job】
As part of the Astellas commitment to delivering value for our patients, our organization 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.
【募集の背景 / Purpose & Scope】
As a Data Engineer, you will play a crucial role in designing, building, and maintaining our data infrastructure. Working with the Senior Data Engineer, 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 organization. This is a fantastic global opportunity to use your proven agile delivery skills across a diverse range of initiatives, utilize your development skills, and contribute to the continuous improvement/delivery of critical IT solutions.
【Essential Skills & Knowledge】
• Subject Matter Expertise: possess a strong understanding of data architecture/ engineering/operations/data model (e.g. 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 for example, Python, PySpark, SQL.
• Experience in QLIK, Databricks or Change Data Capture (eg. Fivetran) is preferred. Other technologies include Oracle and APEX.
• Proven experience with data analytics practices and techniques and organizations
• Agile Practices: Experience working in Agile development environments, participating in sprint planning, stand-ups, and retrospectives.
• Cloud Data Solutions: Familiarity with other cloud platforms (AWS, Azure, Google Cloud) and their data services
• Analytical Thinking: Demonstrated ability to lead ad hoc analyses, identify performance gaps, and foster a culture of continuous improvement
• Agile Champion: Adherence to DevOps principles, automation, and a proven track record with CI/CD pipelines for continuous delivery
• Understand and Interpret business requirements and can term them into technical requirements.
【職務の内容 / Essential Job Responsibilities】
（雇入れ直後）
Data Modelling and Integration:
• Collaborate with cross-functional teams to analyze requirements and create technical designs, data models, and migration strategies.
• Design, build, and maintain physical databases, dimensional data models, and ETL processes specific to pharmaceutical data.
Cloud Expertise:
• Evaluate and influence the selection of cloud-based technologies such as Azure, AWS, or Google Cloud.
• Implement data warehousing solutions in a cloud environment, ensuring scalability and security.
Qlik Expertise:
• Leverage Qlik for data visualization, dashboards, and self-service analytics.
• Create Qlik applications to empower business users with insights.
• 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 practices across the organization 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 practices 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
【就業環境に関する要件 / 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.
• At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas’ Responsible Flexibility Guidelines.
【応募要件 / Qualifications】
Experience:
• Minimum 2-5 years + experience in data engineering with a strong understanding of PySpark and SQL, building data pipelines and optimization.
• Minimum 2-5 years + experience in data engineering and integration tools (e.g., Databricks, Change Data Capture)
• Minimum 2-5 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.
＜必須 / Required＞
Any relevant cloud-based integration certification at foundational level. For example:
• Any QLIK or BI certification
• AWS certified DevOps engineer,
• AWS Certified Developer
• Any Microsoft Certified Azure qualification
• Proficient in RESTful APIs
• AWS, CDMP, MDM, DBA, SQL, SAP, TOGAF, API, CISSP, VCP (any relevant certification)
MuleSoft
• Understanding of MuleSoft's Anypoint Platform and its components (desirable)
• Experience with designing and managing API-led connectivity solutions
• Knowledge of integration patterns and best practices
• Proficiency in network architecture and security concepts
AWS
• Experience provisioning, operating, and managing AWS environments
• Experience developing code in at least one high-level programming language
• Understanding of modern development and operations processes and methodologies
• Ability to automate the deployment and configuration of infrastructure using AWS services and tools
• Experience with continuous integration and continuous delivery (CI/CD) methodologies and tools
Microsoft Azure
• Fundamental understanding of Microsoft Azure and its services
• Experience with Azure services related to computing, networking, storage, and security
• Knowledge of general IT security principles and best practices
• Understanding of cloud integration patterns and Azure integration services such as Logic Apps, Service Bus, and API Management
＜歓迎 / Preferred＞
• Subject Matter Expertise: possess a strong understanding of data architecture/ engineering/operations/ reporting within Life Sciences/ Pharma industry across Commercial, Manufacturing and Medical domains.
• Other complex and highly regulated industry experience will be considered across diverse areas like Commercial, Manufacturing and Medical.
• Data Analysis and Automation Skills: Proficient in identifying, standardizing, and automating critical reporting metrics and modelling tools
• Analytical Thinking: Demonstrated ability to lead ad hoc analyses, identify performance gaps, and foster a culture of continuous improvement.
• Technical Proficiency: Strong coding skills in SQL, R, and/or Python, coupled with expertise in machine learning techniques, statistical analysis, and data visualization.
• Agile Champion: Adherence to DevOps principles and a proven track record with CI/CD pipelines for continuous delivery.
Other critical skills required ：
• 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.
【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）、企画業務型 裁量労働制
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."