What will I be doing? \u D83E\u DD14

• Build data pipelines and model data in our data warehouse, to allow anyone across the business to interact with data in the level of detail they need
• Work together with your peers on start-to-end data projects
• Collaborate with our analysts to build scalable reporting. Foster data discovery and strengthen data knowledge across the company by writing comprehensive documentation and metrics definitions
• Maintain, together with the rest of the Analytics Engineering team, the core datasets that are used as a starting point for any analysis in the company

What do we need from you? \u D83D\u DE0E

• 2+ year of experience working with dbt, SQL and data warehousing
• 2+ years of experience working with Python and its relevant data analysis modules (pandas, numpy, matplotlib, ...etc.)
• 2+ years of experience with reporting and data visualization tools such as Tableau, Looker, etc
• Knowledge of Git and some experience coding as part of a team
• A sense of responsibility and a drive to help Stuart build a self-serve data culture A natural affinity for structure and automation
• Fluency in English

The stuff you want to know \u D83D\u DE09

• Work in an international, dynamic and passionate environment with a company culture focused on learning and development \u D83C\u DF89
• Hybrid working model and flexible hours ✨

• Ticket Restaurant by Edenred (€11 daily) \u D83E\u DD57
• Stuart Academy, offering a wide range of upskilling and development opportunities \u D83C\u DF93
• Wellness Allowance (€40 monthly) to use in any gym or sport class \u D83E\u DDD8
Private healthcare provided by Alan \u D83E\u DDD1‍
• ️
• Free monthly Bicing card \u D83D\u DEB2
• Parents-friendly environment - Monthly Childcare voucher Social activities and events (family day, regular community lunch, ceramic class, yoga, gardening class...) \u D83C\u DF88
• Work-from-Abroad policy (enjoy 30 days per year working from anywhere!) \u D83C\u DFDE