About the Role
We are looking for a Backend Engineer (m/f/d) to be part of the development of our Recommendation Engine within our Business Intelligence Applications.
Our BI App circle is embedded in our circle cluster “Customer & Shop Intelligence”, which is in charge of driving a personalized and inspirational shop experience.
The team uses data from across the company and transforms it into logics & scores, used to provide the best personalized user shopping experience. You will work at the heart of our recommendation with deep insights into the algorithms behind that. Within this, you will work together with fellow engineers and data scientists to ensure that the systems serve customers in the best possible way, balancing speed and recommendation performance.
elasticsearch
Node.js
TypeScript
REST API
AWS
Google BigQuery
Google Cloud Platform
Datadog
Docker
Gitlab
WHAT YOU WILL DO
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
WHO YOU ARE
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