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Data Engineer (GCP)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (GCP) (Cloud Data Engineering): Building scalable ETL/ELT pipelines and cloud-native data platforms on Google Cloud Platform with an accent on batch and real-time processing, data modeling, and governance. Focus on designing distributed data workflows, implementing quality monitoring, and enabling analytics and AI use cases with BigQuery, Dataflow, Pub/Sub, Python, and SQL.

Location: Madrid, Spain

Company

hirify.global operates and modernizes mission-critical technology systems for leading businesses, with a focus on cloud, data, AI-powered insights, and enterprise technology solutions.

What you will do

  • Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform.
  • Build and optimize batch and real-time data ingestion, transformation, and processing workflows.
  • Develop data models supporting analytics, reporting, and AI initiatives.
  • Implement data quality validation, monitoring, and governance controls.
  • Collaborate with architects and business stakeholders to translate requirements into technical solutions.
  • Support orchestration, automation, and operationalization of data pipelines.

Requirements

  • At least 3 years of experience as a Data Engineer or in a similar role.
  • Hands-on experience with GCP services including BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, and Dataproc.
  • Strong SQL and Python programming skills.
  • Experience with ETL/ELT pipelines, distributed data processing, data warehousing, and dimensional modeling.
  • Fluent Spanish and English required.
  • Strong analytical thinking, attention to detail, and a collaborative mindset.

Nice to have

  • Experience with dbt, Spark, Kafka, Terraform, or Docker.
  • Familiarity with streaming architectures and event-driven integration patterns.
  • Exposure to Looker or Power BI.
  • Knowledge of AI/ML data pipelines and MLOps concepts.

Culture & Benefits

  • Flexible, supportive, and hybrid-friendly work culture.
  • Well-being programs supporting financial, mental, physical, and social health.
  • Personalized career development goals, continuous feedback, coaching, and hands-on learning.
  • Access to certification and learning opportunities with Microsoft, Google, and Amazon.
  • Inclusive culture focused on belonging, empathy, continuous learning, and shared success.

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