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Remote Data Engineer — AWS & GCP Data Pipelines

Antal International Network

Barcelona

A distancia

Confidencial

Jornada completa

Ayer
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Descripción de la vacante

A rapidly growing organization in Conversational AI seeks a Data Engineer to design and maintain their data ecosystem. The ideal candidate has 3+ years of experience, strong SQL and Python skills, and is capable of remote work in an English-first, async-friendly team. The role involves building data pipelines, creating dashboards, and collaborating across teams, with a focus on AI-enhanced development.

Formación

  • 3+ years of experience as a Data Engineer or similar role.
  • Strong knowledge of SQL and NoSQL databases.
  • Proficiency in Python for automation and data processing.
  • Experience with data modeling, cleaning, and visualization.
  • Strong communication skills for cross‑functional collaboration.
  • Ability to design scalable data architectures.
  • Comfortable working remotely in an English‑first, async‑friendly team.

Responsabilidades

  • Building and maintaining pipelines to collect, clean, and transform data.
  • Ensuring data accuracy, reliability, and consistency.
  • Converting raw data into scalable, analysis-ready models using SQL.
  • Creating dashboards and reports using Excel and BI tools.
  • Developing Python scripts to automate data workflows.
  • Translating complex technical insights for non-technical teams.
  • Working with AI coding assistants for development tasks.

Conocimientos

SQL
NoSQL databases
Python
Data modeling
Data visualization
Communication skills
Data architecture design
AI coding assistants

Herramientas

PostgreSQL
Firestore
MongoDB
DynamoDB
Excel
Mixpanel
HubSpot
BI tools
AWS
GCP
Descripción del empleo
A rapidly growing organization in Conversational AI seeks a Data Engineer to design and maintain their data ecosystem. The ideal candidate has 3+ years of experience, strong SQL and Python skills, and is capable of remote work in an English-first, async-friendly team. The role involves building data pipelines, creating dashboards, and collaborating across teams, with a focus on AI-enhanced development.
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