Backend Engineer - Search Engine (all genders)

About You
Hamburg, Germany
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Hamburg, Germany

Tech stack

Clean Code Principles
API
Airflow
Amazon Web Services (AWS)
Google BigQuery
Data Infrastructure
Data Warehousing
Distributed Computing Environment
Elasticsearch
Python
Machine Learning
Node.js
NoSQL
Cloud Services
Standard Sql
Systems Integration
TypeScript
Datadog
Data Logging
Large Language Models
Backend
Google BigQuery
Search Engines
REST
Data Pipelines
Programming Languages

Job description

  • 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, We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are. Different backgrounds and perspectives make us stronger and shape our culture in ways that matter. What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.

Requirements

  • 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

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