Backend Engineer - Search Engine (all genders)

About our Product & Tech Department

Our mission is to digitize the classic shopping stroll, turning it into a personalized, inspiring experience for every customer. Technology and data sit at the center of everything we build. We are not a fashion company with a tech team on the side. Tech drives our product, our strategy, and our growth.
Our proprietary tech stack powers our own shops and SCAYLE, our commerce infrastructure solution that serves over 350 brands globally. Same foundation, bigger stage. The challenges keep things interesting.

What To Expect

• Develop a cutting-edge Search Engine utilizing Node.jswith TypeScript
• Manage extensive data volumes efficiently, employing Google BigQuery and integrating seamlessly with Business Intelligence systems and our data platform
• Build and enhance high-traffic APIs, ensuring minimal latencies
• Collaborate closely with seasoned developers, product managers, QA experts, and analysts to enhance current functionalities and launch novel features
• Encouragement for innovative ideas and creations, a flat organizational structure, and rapid decision-making processes ensure ample room for contribution and growth
• Draft architectural decisions together with our Tech Lead and explore new technologies

Who You Are

• 3+ years working experience in Backend
• 2+ years experience in building scalable APIs (e.g. using Node.js, Python or Go)
• Practical & recent experience with a typed programming language (e.g. TypeScript)
• Solid know how in working with SQL or No-SQL databases
• You write well-structured, efficient and maintainable code and actively keep the quality of the code base in check
• You have excellent analytical and problem-solving skills
• You are used to working in an English-speaking and agile environment 
• You raise the bar of the software you work on
• You enjoy investigating the 'why' behind specific search outcomes and translating those findings into actionable technical enhancements

Nice to have

• Experience with Elasticsearch or OpenSearch
• Experience building Data Models using dbt
• Experience in working with a MPP data warehouse (e.g. Redshift, BigQuery)
• Experience with centralized logging, monitoring, and alerting solutions (Datadog)
• Hands-on experience with a cloud ecosystem (e.g. AWS, GCP) and integration with orchestration services (like Dagster or Airflow)
• Experience of running data processing pipelines using distributed data processing frameworks
• Hands-on Experience with Machine Learning Models or LLM-based systems is a plus

Salary range

70k - 85k €