What You'll Do
- You will architect the “Data DNA” used by global biopharmas to make data-driven decisions
- You will be at the forefront of enabling global AI initiatives within high-stakes, high-impact environments
- You will design PySpark pipelines and collaborate on ML models to integrate diverse data into robust Lakehouse architecture
- Identify, implement, and maintain end-to-end HCO data pipelines
- Refine data structures and processing logic to meet the rapidly changing demands of the market
- Deploy solid principles and clean patterns to data engineering tasks
- Advance the long-term architectural roadmap
- Validate high quality and availability of HCO deliveries
- Govern and optimize the underlying infrastructure
- Own monitoring, logging, and performance metrics from day one
- A proactive interest in using AI tools to streamline development and solve complex data problems
Requirements
- Experience with Python and Apache Spark/PySpark to handle massive datasets
- Expertise in building cloud-native software within AWS or GCP
- Background in designing and maintaining modern architectures, specifically Data Lakes, Lakehouses and Warehouses (DeltaLake, Redshift)
- Experience operating LLM systems in production, including third-party model providers, human/data feedback loops, and multi-model traffic orchestration
- Driving technical execution within Agile environments, utilizing strong English communication skills to align with global stakeholders
Perks & Benefits
- Comprehensive benefits package
- Fitness reimbursement
- Veeva Work Anywhere
Compensation
- Total compensation: 60,000 - 85,000 EUR
- The total compensation range listed here has been provided to comply with local regulations and represents a potential total compensation range for this role. Please note that actual total compensation may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position's total compensation may be composed of other types of compensation, such as variable bonus and/or stock bonus.
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Skills Required
- Experience with Python and Apache Spark/PySpark
- Expertise in building cloud-native software within AWS or GCP
- Background in designing modern architectures like Data Lakes and Warehouses
- Experience operating LLM systems in production
- Strong English communication skills within Agile environments
Veeva Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Veeva and has not been reviewed or approved by Veeva.
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Equity Value & Accessibility — Equity is broadly distributed across the company, positioning most employees as shareholders. Stock-based incentives can materially enhance total compensation, particularly at higher seniority.
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Flexible Benefits — Work Anywhere enables remote-first flexibility with options to use offices and to gather through offsites or coworking weeks. This structure supports collaboration while minimizing rigid on-site requirements.
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Healthcare Strength — Core coverage includes medical, dental, vision, HSA/FSA, life and disability, and EAP. Supplemental perks such as commuter assistance and wellness or gym reimbursements are available in some locations.
Veeva Insights
What We Do
Veeva is the global leader in cloud software for the life sciences industry. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,000 customers, ranging from the world’s largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves.
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