The Role

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 at https://www.veeva.com/products/veeva-link/.

As a data engineer, you focus on our data pipelines 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: Sourcing, Tagging, Matching, and Provisioning.

Depending on the engineering domain, you will focus on different aspects. We decide together which domains fit best for you.

‍

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 or Python 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 or Python
• Experience with Apache Spark or PySpark
• 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)
• DevOps skills, including terraform and general CI/CD experience
• Previously worked in agile environments
• Experience with expert systems

‍

Perks & Benefits

• Comprehensive benefits package
• Fitness reimbursement
• Veeva Work-Anywhere

‍