GCP Data Engineer — Scalable ETL & AI-Ready Pipelines

3530 Kyndryl España, S.A.U.; Madrid; Hybrid; EUR 55,000 - 90,000; Full time

Benefits offered by this job

Be Well programs

Continuous learning & certifications

Job summary

Kyndryl is seeking a Data Engineer to join its ADAI practice, focusing on modern cloud‑native data platforms on Google Cloud Platform. You will design, build, and maintain scalable data pipelines and models to empower analytics and AI initiatives in enterprise environments.

Enjoy a hybrid, supportive culture with Be Well programs, continuous learning, and opportunities to work with cutting‑edge data technologies across Looker, Power BI, and cloud services.

Qualifications

• 3+ years of experience as a Data Engineer or similar role.
• Hands‑on experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, and Dataproc.
• Strong SQL and Python programming skills.
• Experience developing ETL/ELT pipelines and distributed data processing solutions.
• Knowledge of data warehousing concepts and dimensional modelling.
• Spanish and English fluent levels.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform.
• Build and optimise 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 operationalisation of data pipelines.

Skills

SQL

Python

Google Cloud Platform

BigQuery

Dataflow

Pub/Sub

Composer

Dataproc

ETL/ELT pipelines

Data warehousing

Dimensional modelling

Spanish

English

dbt

Spark

Kafka

Terraform

Docker

Looker

Power BI

AI/ML data pipelines

Tools

dbt

Spark

Kafka

Terraform

Docker

Looker

Power BI

Job description

Kyndryl is seeking a Data Engineer to join its ADAI practice, focusing on modern cloud‑native data platforms on Google Cloud Platform. You will design, build, and maintain scalable data pipelines and models to empower analytics and AI initiatives in enterprise environments.

Enjoy a hybrid, supportive culture with Be Well programs, continuous learning, and opportunities to work with cutting‑edge data technologies across Looker, Power BI, and cloud services.