Job Description, Responsibilities & Requirements
About the Position
Principal Backend Engineer (all genders)
Full-time | Hybrid | Hamburg or Berlin, Germany
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.
Responsibilities
- Design and implement search algorithms, leveraging NLP techniques, and optimizing search results for relevance and efficiency.
- Work on recommendation or ranking systems with deep insights into the algorithms behind them.
- Develop smart BI solutions utilizing NodeJS with TypeScript.
- Manage extensive data volumes efficiently, employing Google BigQuery and integrating seamlessly with Business Intelligence systems.
- Build and enhance high-traffic APIs, ensuring minimal latencies.
- Collaborate closely with seasoned developers, product managers, data scientists, and analysts to enhance current functionalities and launch novel features.
- Draft architectural decisions together with our Tech Lead and explore new technologies.
Requirements
- 5+ years of experience in building scalable APIs (e.g., using Node.js, Python, or Go).
- Practical and 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 being responsible for a product, owning it deeply, and pushing for your own improvement ideas to work on within the team.
- You establish standards within your profession, as well as during collaboration with fellow engineers across team boundaries.
Nice to Have
- Experience in working with an 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 with Elasticsearch or OpenSearch.
- Experience building Data Models using dbt.
- 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.
We Offer
- A place where you can be yourself.
- 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.
About the Company
We are committed to creating an inclusive and welcoming environment for all employees. Our diverse backgrounds and perspectives are what make us stronger and shape our culture in meaningful ways. We stand for acceptance, inclusion, and a fairer approach to fashion, both internally and as a brand.