Remote Data Engineer: Build Scalable, End-to-End Pipelines

JTA: The Data Scientists

Porto

Híbrido

EUR 30 000 - 45 000

Tempo integral

Há 11 dias

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Envia um currículo específico para a oferta em poucos minutos.

Vantagens oferecidas por esta oferta de emprego

Health Insurance
15th Month Bonus Salary Policy
Company-Paid Certifications
Team Building Activities

Resumo da oferta

JTA: The Data Scientists is seeking a Data Engineer to own the design, implementation, and operation of production-ready data systems in Porto, Portugal. You will independently deliver end-to-end pipelines from ingestion through transformation to serving, making architectural decisions for reliability, scalability, and maintainability across the data lifecycle.

The role requires 3+ years in data engineering, strong T-SQL, dbt, Airflow/Prefect, PySpark, Docker, and Git.

Qualificações

  • 3+ years of experience in data engineering.
  • Ability to independently deliver end-to-end pipelines across ingestion, transformation, orchestration, and serving.
  • Strong T-SQL for building/exploring datasets and troubleshooting.

Responsabilidades

  • Design and implement end-to-end production data pipelines covering ingestion, transformation, orchestration, and serving layers.
  • Build and operate distributed and non-distributed processing systems and choose appropriate approaches based on workload.

Conhecimentos

End-to-end data pipelines
English fluency
Autonomy
Team collaboration
Observability

Formação académica

Bachelor's degree in Computer Science/Software/Data Engineering

Ferramentas

dbt
Airflow
Prefect
PySpark
T-SQL
Docker
Git

Descrição da oferta de emprego

JTA: The Data Scientists is seeking a Data Engineer to own the design, implementation, and operation of production-ready data systems in Porto, Portugal. You will independently deliver end-to-end pipelines from ingestion through transformation to serving, making architectural decisions for reliability, scalability, and maintainability across the data lifecycle.

The role requires 3+ years in data engineering, strong T-SQL, dbt, Airflow/Prefect, PySpark, Docker, and Git.

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