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