We are currently seeking a highly skilled Cloud Data Engineer to join the Data & Analytics team. This role is ideal for an experienced professional with deep expertise in Google Cloud Platform (GCP), data engineering and cloud-based data solutions. The successful candidate will play a key role in designing and implementing scalable data architectures, optimizing data workflows, and driving best practices in cloud data engineering.
responsibilities :
Design, develop, and optimize data pipelines and architectures within the GCP ecosystem.
Build efficient, high-performing data models and queries in BigQuery, including advanced partitioning, clustering, and performance tuning.
Implement and maintain data transformation workflows using dbt and orchestration tools such as Apache Airflow (Composer).
Develop data processing solutions leveraging Dataproc (Apache Spark).
Apply best practices in data warehousing, data lakes and data governance.
Collaborate with data analysts, architects, and business stakeholders to understand requirements and deliver robust data solutions.
Ensure code quality and maintainability through version control tools such as Git.
requirements-expected :
4+ years of experience in data engineering, with at least 2+ years on GCP data services.
Strong SQL skills and a track record in optimizing large datasets.
Expertise in BigQuery, dbt, Spark, and Airflow, enabling the development and automation of efficient, scalable data pipelines and transformations to support data-driven decision making.
Proficiency in Python, Java, or Scala for data engineering tasks.
Solid understanding of data warehousing and data lake best practices.
Experience with Git for version control.
Certifications: Professional Cloud Architect or Professional Data Engineer.
Language skills: Spanish – fluent, English – good (minimum B2).
offered :
On-site work in Spain with flexible working hours.
Long-term collaboration on B2B contract.
Opportunity to work on complex cloud projects for international clients.
Professional growth in a highly skilled and supportive team.
