Google Cloud Data Engineer Sector cosmética

Devoteam; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading European consultancy in Madrid is seeking GCP-focused Data Engineers to collaborate with customers on data solutions. Responsibilities include designing and implementing scalable data pipelines, maintaining compliance, and automating processes. Ideal candidates should have a strong background in GCP technologies and experience with ETL/ELT processes.

Formación

• Experience in data pipeline design using GCP.
• Strong understanding of ETL/ELT processes.
• Ability to work with large data sets.

Responsabilidades

• Collaborate with customers to define data solutions.
• Design and implement scalable data pipelines.
• Maintain data quality and security compliance.

Conocimientos

GCP data pipeline design

ETL/ELT processes

BigQuery

Dataflow

Cloud Functions

Data quality compliance

Herramientas

Dataproc

Cloud Storage

Descripción del empleo

Company Description

Devoteam is a leading European consultancy focused on digital strategy, technology platforms, cybersecurity and business transformation through technology.
Technology is in our DNA and we believe in it as a lever capable of driving change for the better, maintaining a balance that allows us to offer our client portfolio first class technological tools but always with the proximity and professionalism of a team that acts as a guide along the way.
Devoteam has been committed to technology at the service of people for more than 30 years. With more than 11,000 people in the group, in 25 countries in Europe, the Middle East and Africa.

Job Description

At Devoteam G Cloud, we are looking for several GCP-focused Data Engineers for important projects we have within the company. The position is 100% based in Spain.

Responsibilities:

Collaborate with customers to understand their data needs and challenges, translating them into technical solutions in GCP.
Design, build, and implement efficient and scalable data pipelines using services such as Dataflow, Dataproc, Cloud Functions, and Composer.
Develop and implement ETL/ELT processes to integrate data from various sources, including databases, files, and APIs.
Work with large data sets using technologies such as BigQuery, Cloud Storage, and Dataproc.
Implement and maintain data quality and security compliance.
Optimise the performance and cost of data solutions on GCP.
Automate tasks and processes using orchestration and scripting tools.
Document implemented solutions and provide technical support to customers.
Keep up to date with the latest GCP technologies and best practices.
Contribute to the growth of the team by sharing knowledge and participating in development initiatives.