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.

The product we build approaches parts of this problem through allocation and aggregation of the publicly available information in GDPR conforming manner, respecting people's privacy.

As a team leader, you take responsibility for a group of 4 to 6 data engineers in one of our newly formed engineering domains: tagging, matching, or data provisioning. You lead the feature implementation and innovation efforts of your team, together with a technical product manager, contributing to the larger Link Data Platform. You are responsible to build a scalable, modern, timely data platform based on technologies like Apache Spark, Lakehouses, and classic warehouses like AWS Redshift. 

You will enjoy working here if you like to be in a thriving, agile environment and enjoy connecting Life Sciences with Key people in order to improve research and care.

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

• Lead a diverse team of data engineers, focussed on entity recognition and/or entity linking, with a servant leadership mindset.
• Take full ownership of the recruiting pipeline for the team. You will source, screen, interview, and hire engineers for your team.
• Coach and develop your team members, ensuring personal growth and skillset expansion.
• Take responsibility for the quality of technical implementation, facilitate and encourage the creation of scalable, business-oriented, high-quality software and data pipelines.
• Go hands-on yourself from time to time and lead by example.
• Report to the Director of Data Engineering about the team's performance based on outcome-oriented KPIs.

Requirements

• You have been an engineer for a good part of your career, ideally focussed around data, using JVM-based languages.
• Hands-on mentality
• Excellent technical, diagnostic, and troubleshooting skills.
• Strong leadership and organizational abilities.
• Excellent communication, motivational, and interpersonal skills.
• Good English verbal and written communication skills

Nice To Have

• Previously worked in agile environments
• Experience in a similar role would be advantageous
• Experience in remote working setups

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.