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5 месяцев назад

Data Engineer (AI)

35 000 - 42 000
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b1
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Engineer (AI): Building and optimizing data solutions for an e-commerce intelligence platform with an accent on data ingestion, modeling, and pipeline automation. Focus on developing efficient SQL queries, maintaining data models in Snowflake, and automating workflows with Apache Airflow.

Location: Hybrid work model, requiring 3 days in-office in Barcelona, Spain.

Salary: €35,000–€42,000 gross/yearly

Company

hirify.global is a data and insights-driven company specializing in digital shelf optimization, retail media, and food service aggregators, leveraging proprietary AI to provide e-commerce monitoring tools for global brands.

What you will do

  • Ingest data from internal cloud storage via S3 using parquet files and Iceberg tables, and from backend microservices databases via Airbyte.
  • Develop and maintain data models in Snowflake, Looker, Cube, and dbt.
  • Automate data pipelines using Apache Airflow.
  • Apply software engineering practices like version control and continuous integration.
  • Provide guidance to data visualization specialists and data scientists on engineering best practices.
  • Collaborate with product teams to understand business requirements and deliver analysis-ready data.

Requirements

  • 2+ years of experience in data or analytics engineering roles, including proficiency in Python.
  • Proficiency in SQL and data modeling, with a strong understanding of Data Engineering fundamentals (ETL, Data Modeling).
  • Experience working with cloud platforms like AWS, GCP, or Azure.
  • Familiarity with GitHub best practices, testing, CI/CD, and automation.
  • Ability to collaborate with stakeholders and deliver analysis-ready data.
  • English level: B1 or higher.

Nice to have

  • Experience with data modeling in DBT or similar tools.
  • Experience with data-related programming languages like Java or Scala.
  • Familiarity with data modeling techniques like Kimball.
  • Knowledge of modern data table formats (Delta, Iceberg, or Hudi).

Culture & Benefits

  • Work with an international team of 10+ nationalities.
  • Be part of a dynamic and innovative environment.
  • Benefit from a flexible benefits scheme, including meal vouchers, transport allowance, and private healthcare.
  • Enjoy office perks such as fresh fruit and specialty coffee daily.
  • Receive a permanent contract.

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