【Alexion Japan】Principal Data Engineer Lead
AstraZeneca · Minato-ku, Tokyo, Japan · Global
Software Engineering
–
Not yet analysed
Demand78
Career growth76
Healthcare fit25
Remote potential40
5-year outlook
Likely strong for a principal-level data engineering role in pharma commercial analytics in Japan, with growth toward data platform and AI-enablement leadership. Exact compensation is not stated and should be verified.
Clinical license
Not required
Applicant reach
narrow
Seniority
lead
Employment type
full-time
Date found
2026-11-05
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth considering only if you already have strong hands-on Snowflake, dbt, and Fivetran experience plus native-level Japanese; most clinicians without a data engineering track record should treat it as a long-term pathway rather than an immediate application.
Who should apply
Native-Japanese clinician-data engineers or healthcare analysts with production Snowflake/dbt/Fivetran experience, especially those with pharma commercial, HCP/HCO, or sales data exposure.
CV angle
Lead with real data engineering projects and quantify pipeline, data quality, and stakeholder outcomes; frame clinical/healthcare background as domain context for HCP/HCO, commercial data, governance, and cross-functional communication—never as a substitute for hands-on Snowflake/dbt/Fivetran experience.
Skills to highlight
- Snowflake
- Advanced SQL
- dbt
- Fivetran
- ELT pipeline design
- Data quality and governance
- Power BI
- Stakeholder requirements gathering
Role summary
Principal-level data engineering lead for Alexion Japan/AstraZeneca, building and governing commercial data pipelines and analytics-ready datasets using Snowflake, dbt, and Fivetran for APJ and global stakeholders.
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