Data Engineer (Snowflake, freelance)

CORUS Consulting; Barcelona; A distancia; EUR 30.000 - 50.000; A tiempo parcial

Descripción de la vacante

A consulting company is seeking a freelance Data Engineer with expertise in Snowflake to join an international project. The role is remote from Spain and requires at least 5 years of experience in a similar role. The ideal candidate will also have knowledge of ETL tools, especially Matillion, and AWS. This position offers a contract duration of 3 to 4 months with the possibility of extension and a people-focused international work environment.

Servicios

Remote work

International projects

People-focused team

Formación

• At least 5 years of experience working as a Data Engineer.
• Experience with Snowflake platform and developing SQL procedures.

Conocimientos

Snowflake expertise

SQL development

ETL tools experience

AWS knowledge

Fluency in English

Educación

Degree in Computer Engineering or related field

Herramientas

Matillion ETL

AWS S3

Descripción del empleo

At CORUS , we are looking for a freelance Data Engineer with Snowflake expertise to join our team on an international project.

Location : Remote from Spain.

Duration : 3–4 months (possible extension)

Contract Type : Freelance position

Required Experience / Knowledge :

• Degree in Computer Engineering or a related field.
• Experience with the Snowflake platform and developing SQL procedures in SQL.
• At least 5 years of experience working in a similar role.
• Experience working with ETL tools; knowledge of Matillion ETL is an advantage.
• Knowledge of AWS and AWS S3 storage.
• Fluent in English (part of the team is based in the UK).

What do we offer :

• Remote work from Spain.
• Freelance contract of 3 / 4 months (with a possible extension)
• People-focused team.
• International work environment
• International projects of high technological value.

At CORUS we are very conscious of the importance of respecting diversity. No one will be excluded from this call for applications on the grounds of race, colour, age, sex, marital status, ideology, political opinions, nationality, religion, sexual orientation and / or any other personal, physical, or social condition. This process is aimed at choosing the best professionals through a selection process based exclusively on merit and skills.