Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities.

Veeva Link supports the life sciences industry to connect with key people to improve research and care. It helps professionals to find the right people for e.g. clinical trials, education programs, or advisory boards. This streamlined access helps to reduce the time-to-market of important drugs, conduct trials with the most relevant experts in the respective field, and spread information about new treatments to key people in the life science community. You can read more about Veeva Link on our product pages.

 

As a data engineer, you focus on our Apache Spark infrastructure and take responsibility for a major part of the Link data processing platform. We value end-to-end ownership, which puts you into the sweet spot of finding, designing, and implementing improvements to the product's data pipelines and adjusting them to changing demands of the market. 

You take responsibility for features and innovation using SOLID and clean software principles, take part in the architectural enhancement process and care for the quality of the outcome. Monitoring, metrics, and general observability are part of the feature design process. 

We hire the same role for different engineering domains: Tagging, Matching, and Data Provisioning.

Depending on the engineering domain you focus on different aspects. Tagging means getting the most information out of a single piece of data through e. g. NER, NLP, or simple keyword searches. Matching focuses on the connections between pieces of data and Data Provisioning creates ways to store and distribute the data effectively for further use in our products. We decide together which domains fits best for you.

You must be already based in the Netherlands and be eligible for employment within the EU, as Veeva does not sponsor employment visa processes for this role.

What You'll Do

• Work on Veeva Link’s next-gen Data Platform
• Improve our current environment with features, refactoring, and innovation
• Work with JVM-based languages, preferably Java or Kotlin, on Spark-based data pipelines
• Operate ML models in close cooperation with our data science team
• Experiment in your domain to improve precision, recall, or cost savings

Requirements

• Expert skills in Java, solid knowledge of Python
• Experience with Apache Spark (Java API) 
• Experience writing software for the cloud (AWS or GCP)
• Speaking and writing in English enables you to take part in day-to-day conversations in the team and contribute to deep technical discussions

Nice to Have

• Experience with operating machine learning models (e.g. MLFlow)
• Experience with Data Lakes, Lakehouses, and Warehouses (e.g. DeltaLake, Redshift)
• Previously worked in agile environments
• Experience with expert systems

Perks & Benefits

• Comprehensive benefits package
• Annual allocations for continuous learning, development & charitable contributions
• Fitness reimbursement

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.