Descripción de la oferta
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.
Responsibilities
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
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
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
Benefits
Comprehensive benefits package
Fitness reimbursement
Veeva Work‑Anywhere
Compensation
Total compensation: 65,000 - 110,000 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.
Equal Opportunity
As an equal opportunity employer, 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.
If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.
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