Senior Data Engineer — Full Remote (ETL, Snowflake)

KCS iT

Portugal

Presencial

EUR 50 000 - 80 000

Tempo integral

14 dias+

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Resumo da oferta

KCS IT is seeking an experienced Data Engineer to design and build robust data pipelines for diverse clients across Benelux. You will leverage Python, Snowflake, SQL/NoSQL databases and CI/CD tooling to deliver end-to-end ETL/ELT solutions in a fully remote setup.

The role requires at least five years of data engineering experience, a relevant degree, and strong English communication. You will join a value-driven team that promotes flexibility, integrity and continuous learning.

Qualificações

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • At least 5 years as a Data Engineer.
  • Expertise on end-to-end Data Pipeline Development and ETL processes.
  • Proficiency in programming languages such as Python.
  • Experience with Snowflake Cloud.
  • Strong knowledge of SQL and NoSQL databases.
  • Experience with ETL and ELT processes.
  • Good Knowledge with CI/CD tools and Terraform.
  • Fluency in English is mandatory.

Responsabilidades

  • Develop end-to-end data pipelines and ETL/ELT processes.
  • Work with Snowflake Cloud and various SQL/NoSQL databases.
  • Collaborate on projects across Benelux in a fully remote setup.

Conhecimentos

Python
Snowflake Cloud
SQL
NoSQL databases
ETL/ELT processes
CI/CD tools
Terraform
English fluency
Data pipeline development

Formação académica

Bachelor's degree in Computer Science, Software Engineering, or a related field

Descrição da oferta de emprego

KCS IT is seeking an experienced Data Engineer to design and build robust data pipelines for diverse clients across Benelux. You will leverage Python, Snowflake, SQL/NoSQL databases and CI/CD tooling to deliver end-to-end ETL/ELT solutions in a fully remote setup.

The role requires at least five years of data engineering experience, a relevant degree, and strong English communication. You will join a value-driven team that promotes flexibility, integrity and continuous learning.

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