Overview

As a Data Engineer in Kyndryl's ADAI practice, you will build scalable cloud-native data pipelines on Google Cloud Platform to power analytics and AI use cases across enterprise environments. You will collaborate with architects and business stakeholders to design data models, ensure data quality, and automate end-to-end data workflows. This role offers the chance to work on modern data platforms within a supportive, growth‐oriented culture that values belonging and continuous learning.

You will contribute to impactful data initiatives that enable smarter decisions and faster innovation.

Compensaciones / Ventajas Hybrid-friendly culture

Be Well programs career development opportunities certifications with Microsoft, Google, and Amazon coaching and hands-on experiences empowerment to grow and thrive

Responsabilidades Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform

Build and optimize data ingestion, transformation, and processing workflows for batch and real-time data





Develop and maintain data models supporting analytics, reporting, and AI initiatives

Implement data quality validation, monitoring, and governance controls

Collaborate with architects and business stakeholders to translate requirements into technical solutions

Support orchestration, automation, and operationalization of data pipelines

Requisitos principales 3+ years of experience as a Data Engineer or similar role

Hands-on experience with GCP services (BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Dataproc)

Strong SQL and Python programming skills

Experience developing ETL/ELT pipelines and distributed data processing solutions

Knowledge of data warehousing concepts and dimensional modeling

Spanish and English fluent

Strong analytical thinking

Attention to detail

Collaborative and team-oriented mindset dbt

Spark

Kafka

📌 Data Engineer (GCP) (Sevilla)
🏢 Kyndryl
📍 Sevilla