Data Engineer

📋 Description

• Develop data pipelines and data aggregations, including the core session-level dataset that teams
• Analyze existing and new data sets to understand what data consumers need.
• Build data models that make data easy to use for teams across the company.
• Optimize large-scale data processing jobs and automate workflows with scheduling tools.
• Develop data validations that protect data quality.
• Align deliverables with project team members, proactively pick up tasks from the team’s backlog

🎯 Requirements

• Hands-on experience building and maintaining data pipelines and data models, ideally with Python
• Ownership beyond the task list: you spot problems nobody assigned to you, diagnose root causes, and
• Strong written and verbal communication, including the confidence to challenge a request and bring
• A genuine learning mindset: you approach challenges with curiosity, seek out feedback, and
• A performance mindset: you set ambitious goals for yourself, bring bold ideas to the table even
• An open and curious mindset toward AI tools and automation: you actively explore how AI can enhance

🎁 Benefits

• Personalized coaching through Nilo, workshops, educational meetups, conferences, free online
• Daily canteen budget, complimentary snacks and drinks, fitness options with on-site gym, sports
• Visa support from talent support team, relocation package, interest-free newcomer loan, free
• Self-determined vacation (with a minimum of 25 vacation days), flexible working hours, up to 2 work