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, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Veeva OpenData Commercial supports the industry by providing reference data across the complete healthcare ecosystem, to support commercial sales execution, compliance, and business analytics. We drive value to our customers through constant innovation, using cloud-based solutions and state-of-the-art technologies to deliver product excellence and customer success. The Data Platform Engineering team delivers the tools and data processing pipelines to build the global data core for life sciences in 100+ countries.
Working as a data engineer in our global Data Platform Engineering team at OpenData, you will drive impactful change by harmonizing data operations globally and enhancing data quality. Your responsibilities will include creating the tools and processes necessary to efficiently store, manage, and compile data, directly contributing to the success of OpenData.
You must be based in Portugal and already hold legal work authorization, as Veeva does not sponsor employment visa processes for this role.
What You'll DoBuild data tools to streamline data operations globallyCollaborate with cross-functional teams to deliver data solutionsContribute to the Data Engineering community at OpenData to influence tooling and standards to improve data quality and productivityDevelop a data validation framework to automate quality control processesRequirementsOver 3+ years of hands-on Python development experience for production systemsProficient 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 platformsDemonstrated analytical skills and structured approach to software designHave a strong intrinsic desire to learn and fill in missing skillsHighly proactive finding ways to overcome challengesNice to HaveProficiency in Git, including knowledge of branching strategies, merge mechanisms, and repository managementDemonstrated ability to build and maintain test automation frameworks and CI/CD pipelinesExperience with Polars
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