Backend Engineer - Recommendation (all genders)

About You - Collins GmbH & Co. KG

Berlin, Hamburg

Vor Ort

EUR 90.000 - 130.000

Vollzeit

14 Tage+
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Zusammenfassung

About You - Collins GmbH & Co. KG is seeking a technically skilled engineer to advance our data-driven platform in Berlin. You will develop next-generation recommendations using NodeJS with TypeScript and build high-traffic APIs with low latency.

Collaborate with engineers, product managers, data scientists, and analysts to enhance features, handle large data volumes with Google BigQuery, and explore new technologies including ML and generative AI to shape our data platform's future.

Aufgaben

  • 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

Tools

NodeJS
TypeScript
Google BigQuery

Jobbeschreibung

  • 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
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