Requirements

Experience: 5+ years in a relevant data role, with hands-on experience across data engineering technologies and analytics tooling.
Communication: Excellent written and verbal communication skills in English, able to explain technical concepts clearly to technical and non-technical audiences.
Data engineering depth: Expertise in SQL & Python, building robust data pipelines and data models, and operating data at scale in warehouses/lakes (e.g., Delta, Snowflake, PostgreSQL/MySQL) with a strong focus on data quality, accuracy, and reliability. Strong DBT proficiency and familiarity with Spark/Hadoop.
Reporting & insights: Solid understanding of data visualization and enablement through tools like Looker/Tableau and notebooks (e.g., Jupyter).
Business and stakeholder focus: Able to prioritize effectively, manage stakeholders, and translate business needs into clear technical plans and deliver outcomes.
Autonomy & ownership: Proactive, customer-oriented, and comfortable owning projects end-to-end, balancing system health (monitoring, performance, cost) with new delivery.
Team impact: Collaborative and mentoring-minded, enjoys sharing knowledge, raising standards through reviews, and helping the team succeed.

Nice to Haves

Supply-domain impact: You’ve delivered data products in supply-adjacent domains and thrive in complex, multi-stakeholder environments.
Resilient with challenging external data: Curious and resilient with real-world data constraints, especially integrating frequently changing external/competitive sources while maintaining reliability, governance, and trust.
Software engineering craft: Strong CS fundamentals and a polyglot mindset, comfortable with Java/Scala, values clean code, solid testing habits, and pragmatic automation.

Own the data end-to-end: Deliver reliable, high-quality data solutions that enable supply decision-making.
Be a trusted thought partner: Work closely with Supply, Product, and Data to translate business needs into delivered outcomes and drive adoption of trusted, self-serve data capabilities.
Drive technical excellence in the stack: Proactively manage and evolve the team’s data eco-system with a long-term mindset - covering architecture, testing, monitoring/observability, performance, and cost efficiency.
Improve what’s already in production: Lead system design for new capabilities and continuously improve deployed systems through pragmatic refactors, reliability work, and simplification.
Unblock and level up the team: Raise the engineering bar through strong code reviews, design input, and hands-on support - unblocking other engineers and sharing expertise to grow team capability.
Shape best practices and technical choices: Influence standards and technology decisions with a focus on simplicity, reusability, and maintainability.

Annual personal growth budget and mentorship programs for continuous learning and development
Work from anywhere in the world for 30 days per year
A hybrid working approach with three days of in-office collaboration (Mon, Tue, Thur) and two days of optional at-home focus time
Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
Monthly transportation and fitness budget
Discounts for you, your friends, and family on GetYourGuide activities
Language reimbursement program
Health and wellness benefits