Forward Deployed Data Engineer: GCP & AI Pipelines

Kyndryl Inc.; Madrid; Híbrido; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Be Well programs

Learning & development opportunities

Descripción de la vacante

Kyndryl is seeking Forward Deployed Engineers to design, build, and deploy data platforms on Google Cloud Platform. You will embed with customers, translate business challenges into scalable data solutions and manage end-to-end delivery across data pipelines, governance, and ML enablement.

Ideal candidates have Python or similar language expertise, experience with data engineering tools, and a track record of delivering production-grade data solutions in cloud environments.

Formación

• Proficient in Python and at least one other modern language; experience with AI/ML frameworks is a plus.
• Experience with data pipelines, data platforms, and cloud data services.
• Strong understanding of software delivery lifecycle, version control, and cloud architectures.

Responsabilidades

• Engage with customers to understand business and data challenges and design robust technical solutions.
• Build and optimize scalable data pipelines and platforms on Google Cloud Platform (GCP).
• Contribute to modern cloud data architectures and data governance practices.
• Develop PoCs, MVPs, and production-ready prototypes with real customer data.
• Own delivery workstreams end-to-end from discovery to deployment and stabilization.

Conocimientos

Python

C#

Node.js

TypeScript

TensorFlow

PyTorch

Educación

Degree in Computer Science or related field

Herramientas

Pandas

Spark

Git

GitHub

BigQuery

Dataflow

Dataproc

Pub/Sub

Airflow

Dataform

Descripción del empleo

Kyndryl is seeking Forward Deployed Engineers to design, build, and deploy data platforms on Google Cloud Platform. You will embed with customers, translate business challenges into scalable data solutions and manage end-to-end delivery across data pipelines, governance, and ML enablement.

Ideal candidates have Python or similar language expertise, experience with data engineering tools, and a track record of delivering production-grade data solutions in cloud environments.