Remote data engineer

Location: Tunbridge Wells

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  .
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 Py Spark  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, Lake houses, and Warehouses (e.g., Delta Lake, Redshift) Dev Ops skills, including terraform and general CI/CD experience 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 Work-Anywhere