Backend Engineer - Recommendation (all genders)

• Develop next-generation recommendations utilizing NodeJS 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 engineers, product managers, data scientists, 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
• Explore new technologies and methodologies, especially in the fields of machine learning and generative AI

• 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 are curious to take end-to-end responsibility for our recommendation engine

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