Data Engineer (GCP)

Description

The role sits in the Applications, Data & AI practice and supports building cloud-native data platforms on Google Cloud Platform (GCP) for enterprise clients.

The work centres on reliable, scalable data pipelines that feed analytics and AI use cases, with a focus on high-quality data.

Responsibilities

• Design, build and maintain ETL/ELT pipelines on Google Cloud Platform.
• Build and tune ingestion, transformation and processing workflows for both batch and real-time data.
• Create and maintain data models that serve analytics, reporting and AI work.
• Put data quality checks, monitoring and governance controls in place.
• Work with architects and business stakeholders to turn requirements into technical solutions.
• Help orchestrate, automate and run data pipelines in production.

Requirements

• 3+ years working as a Data Engineer or in a similar role.
• Hands-on work with GCP services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer and Dataproc.
• Strong SQL and Python skills.
• Experience building ETL/ELT pipelines and distributed data processing solutions.
• Understanding of data warehousing and dimensional modelling.
• Fluent Spanish and English.
• Strong analytical thinking and attention to detail.
• A collaborative, team-oriented approach.
• Optional: experience with dbt, Spark, Kafka, Terraform or Docker.
• Optional: familiarity with streaming architectures and event-driven integration patterns.
• Optional: exposure to analytics and BI tools such as Looker or Power BI.
• Optional: knowledge of AI/ML data pipelines and MLOps concepts is a plus.

Conditions

Hybrid-friendly work arrangement.

Equal opportunity: the company welcomes applicants of all backgrounds, and you are encouraged to apply even if you do not meet every requirement.

Benefits

• Be Well programmes covering financial, mental, physical and social health.
• Access to learning opportunities, including certifications from Microsoft, Google and Amazon, coaching and hands-on experience.
• Career planning tools, personal development goals and regular feedback.