Senior Analytics Engineer – Commercial Intelligence

• Own the T in ELT within Commercial Intelligence, from raw data to trusted, analysis-ready models
• Make data modelling decisions based on Kimball design principles
• Extend the core data warehouse model with new data points
• Develop profitability metrics and connect web analytics and revenue data into one funnel view
• Collaborate with Data Engineers and Data Analysts
• Pick up ingestion, pipeline, and analysis work as needed
• Support AI development through AI tools and reliable, documented data foundations
• Ensure data integrity, consistency, and security
• Set up proactive data monitoring and alerting
• Build relationships with E-Commerce, Marketing, commercial, upstream, and downstream data teams
• Contribute to a collaborative, high-performing team culture
• Manage multiple projects in a fast-paced, agile environment

• At least 5 years of experience in Analytics Engineering
• Strong SQL and dbt skills
• Solid Python skills
• Very strong grasp of Kimball modelling principles and ability to explain them
• Comfort working across disciplines
• Interest in engineering and analysis work alongside modelling
• Curiosity about AI and willingness to use AI in data work
• Analytical and problem-solving skills
• Strong communication and interpersonal skills
• Ability to work autonomously and drive projects from idea to production
• Role requires being based in Portugal or Germany

• Maturing Scale-Up: refine systems without losing agility while building scalable impact
• Empowerment to Impact: ownership, accountability, and development measurement
• Growth & Learning Journey: 70/20/10 development model, trainings, and coaching
• Emma-zing Community: smart, collaborative colleagues
• Next Level Global: collaboration across cultures, perspectives, and time zones
• Flexible remote work policy
• Equal opportunity and inclusive workplace