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Engineer - Data Engineer

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company focusing on discovering, developing and commercialising prescription medicines.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Healthcare · AI

Description For Engineer - Data Engineer

Join AstraZeneca, a global leader in biopharmaceutical innovation, where cutting-edge science meets innovative technology. As a Data Engineer in our R&D IT team, you'll be part of a global powerhouse spanning North America, the UK, Sweden, India, and Mexico. The role sits within our Data & Analytics team, focusing on Data Engineering, Generative AI, and Data Science.

You'll be responsible for designing and developing scalable ETL pipelines and Data Products as part of a Data Mesh inspired strategy. The position requires expertise in ELT solutions (DBT, Snowflake), Python, and AWS ecosystems. You'll work with diverse Agile teams globally to tackle technical data challenges and stay ahead of industry trends, particularly in GenAI integration.

The ideal candidate brings 3-6 years of experience with strong cloud platform knowledge, particularly AWS services like Lambda, S3, Athena, and Step Functions. You should be proficient in SQL, experienced with both structured and unstructured data handling, and skilled in CI/CD pipeline development using tools like Github and Jenkins.

At AstraZeneca, you'll contribute directly to patient care by enhancing our ability to develop life-changing medicines through data-driven solutions. The company offers a collaborative environment that values lifelong learning and innovation. You'll be part of a transformation journey as the company evolves into a digital and data-led enterprise, working on meaningful projects that impact global healthcare outcomes.

The role offers the opportunity to work with cutting-edge technologies, including Generative AI platforms, while contributing to a mission-driven organization that's transforming patient care through data and technology. Join a team that combines scientific expertise with technical innovation to make a real difference in healthcare.

Last updated a day ago

Responsibilities For Engineer - Data Engineer

  • Lead the design, development, and enhancement of scalable ETL pipelines and Data Products
  • Work with global and diverse Agile teams to overcome technical data challenges
  • Integrate latest industry trends and innovations including GenAI
  • Develop and maintain CI/CD pipelines
  • Performance tuning SQL and ETL pipelines
  • Troubleshoot data issues and analyze end-to-end data pipelines

Requirements For Engineer - Data Engineer

Python
PostgreSQL
  • 3 to 6 years' experience
  • Strong hands-on experience with cloud providers and services
  • Experience in performance tuning SQL and ETL pipelines
  • Experience with structured, semi-structured (XML, JSON) and unstructured data handling
  • Production experience delivering CI/CD pipelines (Github, Jenkins, DataOps.Live)
  • Excellent Cloud DevOps engineering skills
  • Experience with AWS services like Lambda, S3, Athena, Step Functions
  • Proficiency in Python and SQL
  • Experience with DBT and Snowflake

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