Senior Data Engineer - Remote, Flexible & ETL

Plain Concepts Group

España

Ibrido

EUR 55.000 - 90.000

Tempo pieno

5 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Remote work (optional)
Flexible schedule
Health insurance
English lessons
Training budget & certifications
Birthday day off

Descrizione del lavoro

Plain Concepts is looking for a Data Engineer to join our international Data squad. You’ll design and deploy data solutions, work on ETLs with Spark (Python/Scala), and build scalable pipelines in cloud environments such as Azure or AWS.

With 4+ years of data engineering experience, you’ll collaborate in Agile, own tasks, and contribute to best practices. We offer fully remote work (optional), flexible hours, health insurance, and ongoing training.

Competenze

  • 4+ years of data engineering experience required.
  • Strong Python or Scala and Spark experience for large datasets.
  • Cloud experience with Azure or AWS.
  • Experience with Snowflake data warehousing.
  • Hands-on data pipelines development and CI/CD.
  • Experience with DBT for data transformations.
  • Bonus: IaC experience; SQL/NoSQL knowledge; English proficiency.

Mansioni

  • Participate in design and development of data solutions for challenging projects.
  • Develop projects from scratch with minimal supervision and strong team collaboration.
  • Promote best practices, clean and reusable code.
  • Build ETLs using Spark (Python/Scala).
  • Work on cloud-based projects (Azure/AWS).
  • Create scalable data pipelines with various tech stacks.

Conoscenze

Python
Scala
Spark
Snowflake
Azure
AWS
DBT
CI/CD
SQL
NoSQL
English

Descrizione del lavoro

Plain Concepts is looking for a Data Engineer to join our international Data squad. You’ll design and deploy data solutions, work on ETLs with Spark (Python/Scala), and build scalable pipelines in cloud environments such as Azure or AWS.

With 4+ years of data engineering experience, you’ll collaborate in Agile, own tasks, and contribute to best practices. We offer fully remote work (optional), flexible hours, health insurance, and ongoing training.

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