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91,000+ live jobsData Engineer GCP
Remote, Madrid·Added 5 days ago (last checked 26 Oct)
58 open roles
Our summary
- Work mode
- Remote (Madrid)
- Contract
- Permanent
- Benefits
- Private health insurance, flexible pay plan, meal vouchers, gym access



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Skills
This job advert was originally written in Spanish.
Requirements
What we're looking for
Experience working on data projects on Google Cloud Platform (GCP).
Experience in the design and development of ETL/ELT processes.
Solid knowledge of data modeling.
Experience working with databases and processing large volumes of information.
Knowledge of SQL and query optimization.
Ability to work in agile environments and collaborate with multidisciplinary teams.
Nice to have
Experience with data transformation tools such as Dataform, dbt, or others similar.
Knowledge of BigQuery, Dataflow, Cloud Storage, or GCP data services.
Google Cloud certifications.
Pay & benefits
What you'll get
> Immediate start with a leading company in the IT sector with a high degree of expertise in the Data & Analytics area, where we are in the midst of an expansion process.
> Job stability through an indefinite contract with wide opportunities for professional development and growth within the company.
> 100% remote work modality, anywhere in Spain.
> Very competitive salary package in accordance with the candidate's value.
> Possibility of accessing flexible compensation plans (restaurant card, transport card, and childcare card).
> Medical insurance and GYMPASS.
> Training plans adapted to each profile (technical courses, official certifications, language training...).
> Special discount portal for employees.
> Good working environment and a very collaborative setting.
Discover this offer and many more on our Careers Page. 🚀
The role
At Logicalis, we are looking for a GCP Data Engineer to join analytics and data projects in cloud environments, participating in the design, development, and evolution of data integration processes on Google Cloud Platform (GCP).
The Logicalis Data & AI team works with national and international clients, carrying out major projects in data engineering, artificial intelligence, and advanced analytics, data strategy, governance, integration, and architecture, covering the entire data lifecycle.
What you'll do
Design, development, and maintenance of ETL/ELT processes in GCP environments.
Data modeling for analytical and reporting environments.
Development and optimization of data pipelines.
Integration of data from different sources.
Implementation of best practices for data quality, performance, and governance.
Collaboration with architects, analysts, and business teams to define scalable data solutions.
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