【Alexion Japan】Patient Insights Data Engineering Lead
AstraZeneca · Minato-ku, Tokyo, Japan · Global
Clinical Data Science
–
Not yet analysed
Demand75
Career growth80
Healthcare fit35
Remote potential40
5-year outlook
Strong demand for Snowflake/dbt/Fivetran skills in pharma suggests competitive compensation, likely above average for data engineering roles in Japan, with growth potential as patient insights and AI expand.
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 for clinicians who have transitioned into data engineering with hands-on Snowflake, dbt, and Fivetran experience and native Japanese; not suitable for most clinicians without that technical background.
Who should apply
Physicians, pharmacists, or healthcare graduates with strong data engineering skills (Snowflake, dbt, Fivetran, SQL, cloud platforms) and native Japanese, especially those with pharma or real-world data experience.
CV angle
Highlight hands-on data engineering projects using Snowflake, dbt, and Fivetran, SQL-based transformations, data modeling, and ETL/ELT pipelines. Emphasize any healthcare data experience (EMR, claims, RWD) and ability to translate clinical/business questions into data models. Frame clinical background as domain expertise for patient insights.
Skills to highlight
- Snowflake
- dbt
- Fivetran
- SQL
- Data Modeling
- ETL/ELT
- Data Pipeline
- Patient Insights
Role summary
Lead data engineering for patient insights at Alexion Japan (AstraZeneca), designing and building data pipelines from various sources to Snowflake using dbt and Fivetran, enabling analytics and AI on patient journey and real-world data.
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