Partially Remote Full time At Kyndryl, we run and reimagine the mission
- critical technology systems that drive advantage for the world's leading businesses. with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. We are looking for a Data Engineer to join Kyndryl's Applications, Data & AI (ADAI) practice, supporting the implementation of modern cloud-native data platforms on Google Cloud Platform (GCP). The ideal candidate is passionate about building scalable and reliable data pipelines, enabling analytics and AI use cases, and delivering high-quality data solutions in enterprise environments. 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. Support orchestration, automation, and operationalization of data pipelines. 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. Experience with dbt, Spark, Kafka, Terraform, or Docker. Exposure to analytics and BI tools such as Looker or Power BI. Knowledge of AI/ML data pipelines and MLOps concepts is a plus. Your career with us isn't just a job‐it's an adventure with purpose.

We offer
a dynamic,



hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health‐because we know that when you feel your best, you do your best. You won't just contribute‐you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities‐from certifications with Microsoft, Google, and Amazon to coaching and hands‐on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.

We offer
a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Nuestro cliente, WhatJobs Direct, está buscando un experimentado Ingeniero de Datos Remoto para unirse a su equipo general. Serás fundamental en el diseño, construcción y mantenimiento de nuestra infraestructura de datos, asegurando la disponibilidad, escalabilidad y eficiencia de nuestros sistemas.



Si te apasiona trabajar con grandes volúmenes de datos y estás buscando un rol desafiante con máxima flexibilidad, esta es tu oportunidad. Estamos construyendo el futuro de la gestión de datos y necesitamos talento como el tuyo para lograrlo. Te integrarás en un equipo de alto rendimiento con un enfoque en la innovación y la excelencia técnica. Diseñar, desarrollar y mantener pipelines de datos robustos y escalables. Implementar soluciones de ETL/ELT para integrar datos de diversas fuentes. Optimizar el rendimiento de las bases de datos y los procesos de consulta. Colaborar con científicos de datos, analistas y otros ingenieros para comprender las necesidades de datos. Desarrollar y mantener la infraestructura de datos en la nube (AWS, Azure, GCP). Asegurar la calidad, integridad y seguridad de los datos. Automatizar tareas operativas y de monitoreo de sistemas de datos. Investigar y proponer nuevas tecnologías y enfoques para mejorar nuestras capacidades de datos. Documentar la arquitectura y los procesos de datos. Licenciatura en Ciencias de la Computación, Ingeniería o un campo relacionado. Experiencia probada como Ingeniero de Datos o en un rol similar. Dominio de lenguajes de programación como Python, Scala o Java. Experiencia con herramientas de orquestación de flujos de trabajo como Airflow. Conocimiento profundo de bases de datos SQL y NoSQL. Experiencia trabajando con plataformas de Big Data (e.g., Spark, Hadoop). Experiencia con servicios en la nube (AWS Redshift, S3, EMR; Azure Data Factory, Synapse; GCP BigQuery). Familiaridad con herramientas de BI y visualización de datos. Capacidad para trabajar de forma autónoma y gestionar proyectos de principio a fin. Ofrecemos un salario competitivo acorde a tu experiencia, un plan de desarrollo profesional perso

📌 Senior Data Engineer (España)
🏢 BCNC GROUP
📍 España