Senior Data Engineer - GCP Data Pipelines (Partial Remote)

Parser; Valencia; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Kyndryl is seeking a Data Engineer to join its Applications, Data & AI (ADAI) practice, supporting the implementation of modern cloud-native data platforms on Google Cloud Platform. The ideal candidate will build scalable data pipelines enabling analytics and AI use cases in enterprise environments.

We value hands-on experience with GCP services, strong SQL/Python skills, and a collaborative mindset. The role offers a dynamic, hybrid-friendly culture with growth opportunities across multiple

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.

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

Data engineering

ETL/ELT pipelines

Cloud platforms

English & Spanish

Tools

Google Cloud Platform

BigQuery

Dataflow

Pub/Sub

Composer

Dataproc

dbt

Spark

Kafka

Terraform

Docker

Looker

Job description

Kyndryl is seeking a Data Engineer to join its Applications, Data & AI (ADAI) practice, supporting the implementation of modern cloud-native data platforms on Google Cloud Platform. The ideal candidate will build scalable data pipelines enabling analytics and AI use cases in enterprise environments.

We value hands-on experience with GCP services, strong SQL/Python skills, and a collaborative mindset. The role offers a dynamic, hybrid-friendly culture with growth opportunities across multiple