Build and run AI agents for marketing on Snowflake, our dbt semantic layer, MCP connections and LLM tools, and help define the architecture roadmap.
Create a simple, strong evaluation approach: standard question sets with expected answers, regression checks before each release, and open reporting on accuracy.
Set up and maintain our user acceptance testing (UAT) environment and a repeatable path to production.
Work with Data Ops on platform and engineering standards, and with marketers to understand the decisions they need to make.
Document as you build, so our systems are easy to maintain and knowledge is shared across the team.
What you'll bring
3+ years of experience building and running production data and analytics systems, with strong SQL and Python.
Solid dbt experience, including modelling, testing, macros and ideally a semantic or metric layer. You've designed models others rely on.
Good dimensional modelling fundamentals, such as grain, conformed dimensions and slowly changing dimensions.
Hands-on experience building with LLMs (agents, tool or function calling, retrieval), ideally in production, and a real interest in how to measure and improve answer quality.
Solid engineering habits: version control, testing, code review, CI and documentation.
The ability to build relationships across teams and earn trust. Your work makes a difference when people use it.
Skill at translating in both directions: explaining technical answers in plain language, and turning broad marketing questions into answerable ones.
What will help you thrive
Curiosity and a willingness to experiment. You keep up with what's changing, try things yourself and form your own views.
Good judgement about when to change course, and the confidence to say when something isn't working.
A commercial understanding of marketing. Experience in either B2B or B2C is welcome, along with curiosity about the other.
Nice to have
Experience with Snowflake, MCP, Tableau, identity resolution across sources, marketing attribution, B2B funnel measurement, or marketing data sources such as Salesforce, Adobe Analytics, Braze and Sprinklr.
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. Are you excited to build trusted data foundations that power marketing dashboards and AI products?
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Primary Location Base Pay Range: NLD Amsterdam (Radarweg) €49,000 - €81,700. 





This role is covered by the Collective Labor Agreement Publishing Industry.


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