Remote Data Engineer: Cloud Pipelines & APIs

Vermont Solutions; Madrid; Hybrid; EUR 60,000 - 95,000; Full time

Job summary

Kyndryl is seeking a Data Engineer to join the ADAI practice, focusing on cloud-native data platforms on Google Cloud Platform. You will build scalable data pipelines, enable analytics and AI use cases, and deliver high-quality data solutions in enterprise environments.

The role emphasizes designing ETL/ELT processes, data modeling for analytics, and governance to ensure data quality. A hybrid, supportive culture and career growth opportunities are highlighted.

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

Google Cloud Platform

ETL/ELT pipelines

Data warehousing

Dimensional modeling

English

Spanish

Tools

dbt

Spark

Kafka

Terraform

Docker

Job description

Kyndryl is seeking a Data Engineer to join the ADAI practice, focusing on cloud-native data platforms on Google Cloud Platform. You will build scalable data pipelines, enable analytics and AI use cases, and deliver high-quality data solutions in enterprise environments.

The role emphasizes designing ETL/ELT processes, data modeling for analytics, and governance to ensure data quality. A hybrid, supportive culture and career growth opportunities are highlighted.