Analytics Engineer

📋 Description

• Build and maintain reusable data models, transformations and pipelines that turn source data into
• Define and maintain shared metrics, business rules and documentation, so core metrics stay accurate
• Build AI assistants that let colleagues explore data independently, and test that their answers are
• Create reusable agent skills and workflows that automate tasks like development, analysis
• Partner with stakeholders: understand the real problem, challenge the request when needed, and ship
• Experiment with new AI approaches and share what you learn, inside the team and beyond

🎯 Requirements

• Relevant experience: Ideally 3–5 years in analytics engineering, data engineering or data analytics
• Commercial curiosity: You want to understand how a business works, and you care more about
• Clear communication: You can explain a technical project to a non-technical colleague without jargon
• AI-native habits: You use AI tools daily and know how to give them context, break work down and
• Strong SQL: You have experience building, optimising and maintaining complex analytical
• Cloud data warehouse experience: You’ve worked hands-on with a modern cloud data warehouse and

🎁 Benefits

• 📈 RSUs grant in a rapidly growing company raising its value every day
• 💸 Annual bonus
• 🌎 Multinational team creating the future of automation
• 🎓 Learning & Development plan (online language, professional courses, conference tickets and
• 🍎 Notebook/Macbook and 34’’ curved monitor, access to a company 3D printer
• 🦒 Height adjustable office desk