Backend Engineer - Search (all genders)

Reposted 3 Days Ago
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Hamburg, DEU
Hybrid
Mid level
Retail • Software
The Role
Develop and enhance a high-performance search engine using Node.js and TypeScript. Build scalable, low-latency APIs, manage large data volumes with BigQuery, and integrate with BI and data platforms. Collaborate with product, QA, analytics, and engineering teams to deliver features, investigate search outcomes, improve functionality, and make architectural decisions. Maintain code quality and explore new technologies in an agile environment.
Summary Generated by Built In
Company Description

 

    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

    Qualifications

    • 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

    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.

    Skills Required

    • At least 3 years of backend engineering experience
    • At least 2 years of experience building scalable APIs
    • Recent practical experience with a typed programming language, such as TypeScript
    • Knowledge of SQL or NoSQL databases
    • Ability to write structured, efficient, and maintainable code
    • Strong analytical and problem-solving skills
    • Experience working in an English-speaking, agile environment
    • Experience with Elasticsearch or OpenSearch
    • Experience building data models with dbt
    • Experience with an MPP data warehouse, such as Redshift or BigQuery
    • Experience with centralized logging, monitoring, and alerting tools such as Datadog
    • Cloud ecosystem experience with AWS or GCP and orchestration services such as Dagster or Airflow
    • Experience running data processing pipelines using distributed data processing frameworks
    • Experience with machine learning models or LLM-based systems
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    The Company
    HQ: Hamburg
    196 Employees
    Year Founded: 2018

    What We Do

    SCAYLE enables brands and retailers to realize their D2C ambition. Easy. Fast. And limitless. With headless commerce technology, international operations, and data-driven marketing. Our commerce engine is proven by the success of ABOUT YOU and allows brands to scale infinitely – empowering them to become market leaders in their industry.

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