Remote Data Engineer - Build Production Data Pipelines

Bee Engineering ICT

Portugal

Presencial

EUR 45 000 - 70 000

Tempo integral

Há 12 dias

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Envia um currículo específico para a oferta em poucos minutos.

Vantagens oferecidas por esta oferta de emprego

Health insurace and well-being perks
Continuous Learning opportunities
Partnerships and discounts
One-to-One open communication culture
Celebrations and team events
Referral program
Diverse projects and growth
Diversity and CSR commitments
Sustainability initiatives

Resumo da oferta

Bee Engineering ICT in Portugal is seeking a Mid-Level Data Engineer with 4+ years of experience to join a data-driven technology project.

You will design and maintain production data pipelines, leverage AWS data services, and work with SQL, Spark, and Python or Scala to deliver reliable data workflows.

A remote-friendly environment, continuous learning, and a culture of merit-based growth awaits those who thrive on challenges and want to make an impact.

Qualificações

  • At least 4 years of professional experience in Data Engineering.
  • Strong experience with AWS cloud data services.
  • Proven experience developing and maintaining data pipelines in production environments.
  • Strong hands-on knowledge of SQL.
  • Experience with distributed data processing technologies, particularly Apache Spark.
  • Proficiency in Python or Scala for data engineering tasks.
  • Experience implementing CI/CD pipelines and testing frameworks for data workflows.
  • English proficiency at C1 level.

Conhecimentos

4+ years data eng
AWS cloud data services
SQL
Python or Scala
CI/CD pipelines
English C1
Data pipelines in prod
Apache Spark

Ferramentas

dbt
Apache Kafka
Apache Ignite
Apache NiFi
Apache Airflow

Descrição da oferta de emprego

Bee Engineering ICT in Portugal is seeking a Mid-Level Data Engineer with 4+ years of experience to join a data-driven technology project.

You will design and maintain production data pipelines, leverage AWS data services, and work with SQL, Spark, and Python or Scala to deliver reliable data workflows.

A remote-friendly environment, continuous learning, and a culture of merit-based growth awaits those who thrive on challenges and want to make an impact.

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