Hybrid Data Engineer: Build AI-Ready Pipelines on GCP

Havas Media; Madrid; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Be Well program

Hybrid-friendly culture

Job summary

Kyndryl seeks a Data Engineer to join its ADAI practice, supporting modern cloud-native data platforms on Google Cloud Platform. The role focuses on building scalable data pipelines for analytics and AI in enterprise environments.

You will design ETL/ELT processes, collaborate with architects and stakeholders, and help ensure data quality and governance. The position offers a hybrid-friendly culture, Be Well programs, and opportunities to grow with cutting-edge learning.

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 modeling.
• Spanish and English fluid level.

Responsibilities

• 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.

Skills

SQL

Python

ETL/ELT pipelines

Data warehousing concepts

Spanish & English fluency

Tools

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Composer

Dataproc

dbt

Spark

Kafka

Terraform

Docker

Looker

Power BI

Job description

Kyndryl seeks a Data Engineer to join its ADAI practice, supporting modern cloud-native data platforms on Google Cloud Platform. The role focuses on building scalable data pipelines for analytics and AI in enterprise environments.

You will design ETL/ELT processes, collaborate with architects and stakeholders, and help ensure data quality and governance. The position offers a hybrid-friendly culture, Be Well programs, and opportunities to grow with cutting-edge learning.