Data Engineer AWS (remoto)

CORUS Consulting; Madrid; A distancia; EUR 50.000 - 70.000; A tiempo parcial

Descripción de la vacante

An international consulting firm is seeking a Freelance Data Engineer to join their team. The ideal candidate will have expertise in Snowflake and SQL. This remote position allows the candidate to work from Spain and is expected to last 3–4 months with a possible extension. The role offers participation in high-tech international projects within a people-focused team.

Servicios

Remote work from Spain

International work environment

People-focused team

Possible contract extension

Formación

• At least 5 years of experience in a similar role.
• Experience with the Snowflake platform and developing SQL procedures.
• Knowledge of AWS and AWS S3 storage.

Responsabilidades

• Join an international project as a Data Engineer.
• Work remotely from Spain.

Conocimientos

Snowflake expertise

SQL procedures

ETL tools experience

AWS knowledge

Fluent in English

Educación

Degree in Computer Engineering or related field

Herramientas

Matillion ETL

Descripción del empleo

Position

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

What we offer

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

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.