Engineer - Data Engineer

AstraZeneca

**
Scalable elt pipelines
Dbt, snowflake, fivetran
Python and aws ecosystems
** AstraZeneca is seeking a Data Engineer who will be responsible for building scalable ELT pipelines and data products to enhance decision-making in the development of life-changing medicines. The ideal candidate should possess expertise in DBT, Snowflake, FiveTran, Python, and AWS, with a collaborative spirit and a passion for innovation. **

Job Summary

  • As a Data Engineer at AstraZeneca, you will help shape our digital journey by turning complex, diverse data into trusted, reusable products that enable colleagues to move from insight to impact quickly.
  • Using tools such as DBT, Snowflake, FiveTran, Python and AWS, you will build scalable ELT pipelines and modern data products that drive measurable outcomes for teams across the business.
  • You will join a global, agile community that brings together data engineers, product managers, designers and domain guides to solve high-value problems.

Matching Summary

Match Score: 75

** AstraZeneca is seeking a Data Engineer who will be responsible for building scalable ELT pipelines and data products to enhance decision-making in the development of life-changing medicines. The ideal candidate should possess expertise in DBT, Snowflake, FiveTran, Python, and AWS, with a collaborative spirit and a passion for innovation. **

Skills & Requirements

Must-have

  • Scalable ELT pipelines
  • DBT, Snowflake, FiveTran
  • Python and AWS ecosystems
  • Data Mesh approach
  • Data contracts and validation

Nice-to-have

  • GenAI patterns integration
  • Agile multi-functional squads
  • Security-by-design principles
  • Continuous improvement mindset

Key Requirements

  • 3+ years of experience
  • Experience with Data Mesh concepts
  • Experience with CI/CD for data
  • Experience enabling ML and GenAI use cases

Work Rights

Not specified

Tailored Resume

Cover Letter