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описание
Our case studies reflect the practical decisions and commercial challenges you would work on here. We'll explore how you approach unfamiliar problems, make decisions and turn them into action. • Interview day in Barcelona. Spend a day with us in person, working through practical cases and discussing your experience, ambitions and how we would work together.
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.
задачи
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
требования
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
условия
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
