Senior/Lead Data Engineer

We are looking for a Senior/Lead Data Engineer to design, build and maintain data products, pipelines and transversal capabilities that support decision-making across a global pharma organization.

Responsibilities

Design, develop and maintain a production-grade data platform with data observability capabilities Build and optimize scalable data pipelines and ETL/ELT workflows Develop and deploy cloud-native solutions on AWS Implement and maintain CI/CD pipelines Conduct code reviews and enforce coding standards and testing practices Collaborate with data scientists, ML engineers and product managers to deliver technical solutions Contribute to architecture discussions and design decisions Participate in Agile/Scrum ceremonies Requirements 8+ years of professional data engineering experience with data infrastructure and data platform expertise Proficiency in SQL and Python to write clean, efficient, well-tested code Proven track record of designing, building and deploying complex data platforms and data products Expertise in Airflow, DBT and Snowflake along with AWS native services Familiarity with data observability tools such as Datadog and Monte Carlo Skills in cloud operations including monitoring, cost management and infrastructure reliability Knowledge of Git and CI/CD tools like GitHub Actions Understanding of Agile/Scrum methodologies English proficiency at B2 level or higher Nice to have Background in pharma or life sciences industry Experience with RESTful API and microservices development Knowledge of data governance, lineage or metadata management