About the Role
Seventh Wave, part of Adevinta, builds and operates online classifieds businesses at scale. Adevinta is a group of online marketplaces reaching more than 100 million users every month.
Responsibilities
•Build pipelines and data models that combine product, customer, and commercial data for use across teams and systems
•Work with the commercial transformation team and local leaders to define required data, tracking, and integrations, then prioritize what to build
•Establish consistent tracking, shared definitions, data quality checks, and monitoring with local analysts and engineers
•Build datasets and integrations for capabilities such as audience targeting, pricing tools, and marketing attribution, and connect them to teams' systems
•Build tools that connect commercial results to actionable inputs and flag where action is needed
•Use AI and automation to surface opportunities by category, region, and user segment
•Build reusable pipelines, data models, and integrations, adapt them to local markets, and help teams use them in their daily work
Requirements
•Translate commercial goals into clear technical problems and identify suitable data, models, or tools
•Work confidently with SQL and either Python or R
•Have a solid understanding of statistics and applied modelling
•Produce clear, reproducible work and validate data and models
•Set demanding goals and take responsibility for building useful solutions
•Follow through on quality, adoption, and improvement after launch
•Learn new methods quickly and experiment with AI to improve analysis and development
•Test assumptions carefully and change course based on evidence
•Explain technical choices and trade-offs clearly in fluent English
•Work effectively with commercial and engineering colleagues, share knowledge, welcome challenges, and help improve others' work
•Have 2–3 years of experience in data engineering or analytics engineering
•Have built and maintained production data pipelines, designed reliable data models, and translated business needs into data capabilities used by commercial and product teams
•Ideally have experience in a start-up or scale-up
Conditions
•A highly competitive all-in salary package, with no performance-based bonuses
•Occasional travel to marketplaces depending on role and scope
•Personal development budget
•Hands-on experience across different marketplaces and areas of the business
•International team, substantial autonomy, and real responsibility
•The interview day takes place in person in Barcelona and includes practical cases and discussions about experience, ambitions, and potential collaboration
