Senior Data Engineers (100% Remoto)

Bcnc Group; Sevilla; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Kyndryl is seeking a Data Engineer to join its Applications, Data & AI (ADAI) practice, focusing on building scalable cloud-native data pipelines on Google Cloud Platform to support analytics and AI use cases in enterprise environments. The role involves designing ETL/ELT pipelines on GCP, data modeling, quality controls, and collaborating with architects and stakeholders.

Fluency in English and Spanish is required, and experience with BigQuery, Dataflow, Pub/Sub, and Looker/Power BI is

Qualifications

• 3+ years in data engineering or similar role.
• Proficient with GCP services: BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Dataproc.
• Strong SQL and Python skills.
• Experience with ETL/ELT pipelines and distributed data processing.
• Knowledge of data warehousing concepts and dimensional modeling.
• Spanish and English fluency.

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

English

Spanish

Education

Bachelor's degree in Computer Science, Engineering or related field

Tools

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Composer

Dataproc

dbt

Spark

Kafka

Terraform

Docker

Job description

Partially Remote

Madrid, Spain

Valencia (KES51651) Edificio Lanzadera

Granada, Spain

Barcelona, Spain

Sevilla, Spain

Full time

R-62706

Who We Are

At Kyndryl, we run and reimagine the mission- critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

The Role

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.

Key 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.

Required Experience

• 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.

Preferred Technical Skills

• Experience with dbt, Spark, Kafka, Terraform, or Docker.
• Familiarity with streaming architectures and event-driven integration patterns.
• Exposure to analytics and BI tools such as Looker or Power BI.
• Knowledge of AI/ML data pipelines and MLOps concepts is a plus.

Soft Skills

• Strong analytical thinking and attention to detail.
• Collaborative and team-oriented mindset.

Being You

The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging – being a valued, respected, trusted member of the team – is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.

What You Can Expect

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.

From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute‑you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.

We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. 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 are committed to helping you do just that.

Benefits

We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. No stipend details in this section.

Equal Opportunity Statement

Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. 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. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

About the Role

Nuestro cliente, WhatJobs Direct, está buscando un experimentado Ingeniero de Datos Remoto para unirse a su equipo global. Esta posición es totalmente remota, permitiéndote trabajar desde cualquier lugar. 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.

Key Responsibilities

• 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.

Requirements

• 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.
• Excelentes habilidades de resolución de problemas y pensamiento analítico.
• Capacidad para trabajar de forma autónoma y gestionar proyectos de principio a fin.

Benefits

Disfruta de la máxima flexibilidad trabajando de forma 100% remota desde donde elijas. Ofrecemos un salario competitivo acorde a tu experiencia, un plan de desarrollo profesional personalizado, y acceso a cursos y certificaciones. Tendrás la oportunidad de trabajar con tecnologías de punta y formar parte de un equipo internacional y colaborativo. Apoyamos el equilibrio entre la vida laboral y personal y fomentamos una cultura de confianza y autonomía. Contamos con seguro médico privado y un paquete de beneficios adaptado a tus necesidades. Únete a nosotros y redefine el futuro de la ingeniería de datos a nivel global.