Data Engineer
<p><strong>Company Profile</strong><br /> <br /> Global rare disease biopharmaceutical company is looking for a Tokyo-based Data Engineer to support its commercial data and analytics function.<br /> <br /> <br /> <br /> <strong>The Role</strong><br /> </p><ul><li>Design, build, and operate scalable data solutions on AWS + Snowflake, aligned to the global standard framework.</li><li>Deliver governed, analytics-ready datasets and data products from CRM and multi-platform data.</li><li>Build curated data marts/layers with strong documentation and lineage; ingest and harmonize CRM data (Salesforce/Veeva).</li><li>Implement data quality monitoring and security/privacy controls (AWS IAM, Snowflake RBAC) in a regulated environment.</li><li>Contribute to data science work as needed (exploratory analysis, feature engineering, lightweight modeling).</li><li>Collaborate with the Global Data team and an India-based dev team, communicating in Japanese and English.</li></ul><p><br /> <br /> <strong>Your Skills </strong><br /> </p><ul><li>8-12+ years in data engineering/analytics engineering with end-to-end production ownership.</li><li>Strong AWS (S3, Glue, Lambda, Step Functions) and proven Snowflake expertise.</li><li>Expert SQL and strong Python skills.</li><li>Experience with standardized enterprise data frameworks and Salesforce/Veeva CRM integration.</li><li>Working knowledge of statistics, exploratory analysis, and ML concepts.</li><li>Business-level Japanese and English required.</li><li>Preferred: life sciences experience, GenAI/NLP exposure, Power BI/Tableau, Master's degree in a related field.</li></ul><p><br /> <br /> <strong>Key Highlights of the Role </strong><br /> </p><ul><li>Shape the data foundation for a global rare disease business.</li><li>Bridge data engineering and data science with GenAI/ML-ready data products.</li><li>Work cross-border with global and India-based teams.</li><li>Join AstraZeneca's stable, mission-driven Rare Disease unit.</li></ul><p><br /> <br /> <strong>Location </strong><br /> <br /> Tokyo<br /> <br /> <br /> <br /> <strong>Salary</strong><br /> <br /> 9 - 13 million yen<br /> <br /> <br /> <br /> Reference Number: 06940-0013469267<br /> <br /> <br /> <br /> <br /> <br /> <em>By clicking 'apply', you are deemed to have agreed to Robert Half Japan Privacy Notice (</em><a href="https://www.roberthalf.com/jp/en/privacy"><em>https://www.roberthalf.com/jp/en/privacy</em></a><em>). Please ensure that your application documents do not include sensitive personal data such as race, beliefs, medical history, criminal record, or other information irrelevant to hiring process such as spouse or dependents. All information must be accurate and truthful, and any included hyperlinks must be safe and secure.</em><br /> </p><img src="https://counter.adcourier.com/U21haWwuU2FmaS44MzU3MC4xMDg5OEByaGlqcC5hcGxpdHJhay5jb20.gif">
- Tokyo,
- remote
- Permanent
-
9.0M - 13.0M JPY / Yearly
- <p><strong>Company Profile</strong><br /> <br /> Global rare disease biopharmaceutical company is looking for a Tokyo-based Data Engineer to support its commercial data and analytics function.<br /> <br /> <br /> <br /> <strong>The Role</strong><br /> </p><ul><li>Design, build, and operate scalable data solutions on AWS + Snowflake, aligned to the global standard framework.</li><li>Deliver governed, analytics-ready datasets and data products from CRM and multi-platform data.</li><li>Build curated data marts/layers with strong documentation and lineage; ingest and harmonize CRM data (Salesforce/Veeva).</li><li>Implement data quality monitoring and security/privacy controls (AWS IAM, Snowflake RBAC) in a regulated environment.</li><li>Contribute to data science work as needed (exploratory analysis, feature engineering, lightweight modeling).</li><li>Collaborate with the Global Data team and an India-based dev team, communicating in Japanese and English.</li></ul><p><br /> <br /> <strong>Your Skills </strong><br /> </p><ul><li>8-12+ years in data engineering/analytics engineering with end-to-end production ownership.</li><li>Strong AWS (S3, Glue, Lambda, Step Functions) and proven Snowflake expertise.</li><li>Expert SQL and strong Python skills.</li><li>Experience with standardized enterprise data frameworks and Salesforce/Veeva CRM integration.</li><li>Working knowledge of statistics, exploratory analysis, and ML concepts.</li><li>Business-level Japanese and English required.</li><li>Preferred: life sciences experience, GenAI/NLP exposure, Power BI/Tableau, Master's degree in a related field.</li></ul><p><br /> <br /> <strong>Key Highlights of the Role </strong><br /> </p><ul><li>Shape the data foundation for a global rare disease business.</li><li>Bridge data engineering and data science with GenAI/ML-ready data products.</li><li>Work cross-border with global and India-based teams.</li><li>Join AstraZeneca's stable, mission-driven Rare Disease unit.</li></ul><p><br /> <br /> <strong>Location </strong><br /> <br /> Tokyo<br /> <br /> <br /> <br /> <strong>Salary</strong><br /> <br /> 9 - 13 million yen<br /> <br /> <br /> <br /> Reference Number: 06940-0013469267<br /> <br /> <br /> <br /> <br /> <br /> <em>By clicking 'apply', you are deemed to have agreed to Robert Half Japan Privacy Notice (</em><a href="https://www.roberthalf.com/jp/en/privacy"><em>https://www.roberthalf.com/jp/en/privacy</em></a><em>). Please ensure that your application documents do not include sensitive personal data such as race, beliefs, medical history, criminal record, or other information irrelevant to hiring process such as spouse or dependents. All information must be accurate and truthful, and any included hyperlinks must be safe and secure.</em><br /> </p><img src="https://counter.adcourier.com/U21haWwuU2FmaS44MzU3MC4xMDg5OEByaGlqcC5hcGxpdHJhay5jb20.gif">
- 2026-07-15T09:11:37Z