Resumo da vaga

Senior Software Engineer — Data Modeling (Europe)

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

What you will do:

  • Design, build, and maintain backend services, REST APIs, databases, and big data pipelines that power customer-facing insights and analytics.
  • Implement and maintain near-real-time stream-based data processing pipelines in collaboration with batch-oriented data refresh workflows.
  • Develop and evolve a query engine capable of answering complex, cross-deal/account questions and delivering actionable insights for sales managers and executives.
  • Scale data processing and insights generation pipelines to handle growing volumes of activity data (emails, meetings, transcripts, CRM objects) while managing infrastructure costs.
  • Collaborate with Engineering and Product teams to translate business and customer needs into robust, well-documented technical solutions.
  • Follow and promote software development best practices, delivering clean, maintainable, and well-monitored code.
  • Build internal tooling to enable customer support teams to investigate and resolve support requests in a self-service manner.
  • Ensure high-quality alerting, dashboards, tracing, and runbooks are in place for all production services.

What you will bring:

  • 5+ years of professional experience building backend systems in an enterprise environment
  • 2+ years of experience programming in Python or Scala
  • Experience with distributed systems and service-oriented architecture (SOA)
  • Experience with large-scale data processing frameworks (Spark, Hive, Hadoop, MapReduce, or similar)
  • Experience with stream processing technologies such as Kafka, Apache Samza, or Apache Storm
  • Experience with Elasticsearch is a plus
  • Experience with LLMs or NLP is a plus
  • Familiarity with analytical databases and ETL pipeline design
  • Strong analytical and problem-solving skills with a track record of delivering elegant, practical solutions
  • Experience taking ownership in an unfamiliar or legacy codebase and incrementally improving it
  • Strong inclination toward automation and reducing manual operational toil

About Backstory.ai:

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