Remote Data Engineer — Build Scalable Pipelines

IRIUM Portugal

Lisboa

Híbrido

EUR 39 000 - 44 000

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Flexible pay
Medical insurance
Remote work option

Resumo da oferta

IRIUM Portugal is seeking a Data Engineer to join the AI & Data team and contribute to the Inter Data Platform project for IKEA AB, a global leader in ready-to-assemble furniture and home goods. You will design, develop, and maintain scalable data solutions that support data generation, collection, processing, and analytics.

You will collaborate with cross-functional teams to deliver high-quality data platforms, mentor colleagues, and help drive the platform's performance and architectural

Qualificações

  • Expert-level Databricks experience and data engineering skills.
  • Advanced Python proficiency and scalable data pipelines.
  • Experience with ETL/ELT across multiple systems.

Responsabilidades

  • Design, develop, and maintain scalable data solutions and architectures.
  • Build and manage data pipelines to support analytics.
  • Develop ETL/ELT processes to migrate data across systems.
  • Ensure data quality, availability, and reliability throughout the lifecycle.
  • Collaborate with stakeholders to align data solutions with business aims.
  • Mentor teammates and promote best practices.
  • Drive continuous improvement of data architecture and platform performance.

Conhecimentos

Databricks
Python
Data Engineering
ETL/ELT
Data pipelines

Ferramentas

Databricks Lakeflow
Matillion ETL

Descrição da oferta de emprego

IRIUM Portugal is seeking a Data Engineer to join the AI & Data team and contribute to the Inter Data Platform project for IKEA AB, a global leader in ready-to-assemble furniture and home goods. You will design, develop, and maintain scalable data solutions that support data generation, collection, processing, and analytics.

You will collaborate with cross-functional teams to deliver high-quality data platforms, mentor colleagues, and help drive the platform's performance and architectural

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