Staff Backend Engineer (all genders) at ABOUT YOU AG & Co. KG

Hamburg, , Germany -

Full Time

Start Date

Immediate

Expiry Date

10 Aug, 26

Salary

0.0

Posted On

12 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Node.js, TypeScript, Python, Go, SQL, No-SQL, API Design, Google BigQuery, NLP, Elasticsearch, OpenSearch, dbt, AWS, GCP, Dagster, Airflow

Industry

Internet Marketplace Platforms

Description

Job Description We are looking for a Staff Backend Engineer (m/f/d) to be part of the development of our data-driven systems, specifically one of the Search, Recommendations and Sorting teams. These circles are embedded in our circle cluster “Customer & Shop Intelligence”, which is in charge of driving a personalized and inspirational shop experience. There are multiple possible areas you could work on. One is designing and implementing search algorithms, leveraging NLP techniques, and optimizing search results for relevance and efficiency to ensure our Search Engine delivers highly accurate and comprehensive results, enhancing the overall user experience. Another option would be working at the heart of our recommendation or ranking systems 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. 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 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 Qualifications 5+ 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 being responsible for a product, owning it deeply and as well push for own improvement ideas to work on within the team You establish standards within your profession, as well during collaboration with fellow engineers across team boundaries Nice To Have 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 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 Additional Information Your perks at a glance: Visit our benefits page. Simply apply online via our career page - we will get back to you as soon as possible! A Place Where You Can Be You 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.

Responsibilities

Design and implement scalable backend systems for search, recommendations, and sorting to enhance the personalized shop experience. Collaborate with data scientists and product managers to build high-traffic APIs and optimize data-driven algorithms.