Job Description

Position Overview

• Location Type: Spain (Onsite)
• Employment Type: Full-Time
• Salary: Not specified

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, they surpassed $2B in revenue in their last fiscal year with extensive growth potential ahead. Veeva is a Work Anywhere company, supporting flexible work arrangements. They are a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. Veeva OpenData Commercial supports the industry by providing reference data across the complete healthcare ecosystem to support commercial sales execution, compliance, and business analytics. The Data Platform Engineering team delivers the tools and data processing pipelines to build the global data core for life sciences in 100+ countries.

Responsibilities

• Build data tools to streamline data operations globally.
• Collaborate with cross-functional teams to deliver data solutions.
• Contribute to the Data Engineering community at OpenData to influence tooling and standards to improve data quality and productivity.
• Develop a data validation framework to automate quality control processes.

Requirements

• Over 3+ years of hands-on Python development experience for production systems.
• Proficient in data cloud computing technologies (EMR, Databricks) within leading cloud platforms (AWS, Google Cloud, or Azure).
• Skilled in designing and implementing data pipelines using distributed storage platforms.
• Demonstrated analytical skills and a structured approach to software design.
• Strong intrinsic desire to learn and fill in missing skills.
• Highly proactive finding ways to overcome challenges.

Nice to Have

• Proficiency in Git, including knowledge of branching strategies, merge mechanisms, and repository management.
• Demonstrated ability to build and maintain test automation frameworks.