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Backend Node.js Engineer

Germany, Hamburg or Berlin 60000.00 - 70000.00 EUR / Year · Job Posted February 02, 2026
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Job Description

We are looking for a Backend Node.js Engineer (m/f/d) to be part of the development of our Search Engine. Our Search circle is embedded in our circle cluster “Customer & Shop Intelligence”, which is in charge of driving a personalized and inspirational shop experience. Responsibilities include designing and implementing search algorithms, leveraging NLP techniques, and optimizing search results for relevance and efficiency. This role will play a pivotal role in ensuring our Search Engine delivers highly accurate and comprehensive results, enhancing the overall user experience.

Job Responsibility

  • Develop a cutting-edge Search Engine utilizing Node.js with 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

Requirements

  • 3+ years working experience
  • 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

What we offer

  • Hybrid working
  • Fresh fruit every day
  • Sports courses
  • Free access to code.talks
  • Exclusive employee discounts
  • Free drinks
  • Language courses
  • Laracast account for free
  • Company parties
  • Help in the relocation process
  • Mobility subsidy
  • State-of-the-art technology
  • Central Location
  • Flexible Working Hours
  • Company pension
  • Professional training
  • Dog-friendly office
  • AY Academy
  • Feedback Culture
  • Job Bikes
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