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Data Engineer (GCP)

Madrid, Spain

Pay
Pay not listed
Work setting
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Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at Kyndryl Holdings

What you’ll work on

Full posting
  • Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform

  • Build and optimize batch and real-time data ingestion and transformation workflows

  • 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

From the employer’s posting
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.

What you’ll bring

All qualifications

Core experience

  • 3+ years of experience as a Data Engineer or similar role.
  • Experience with dbt, Spark, Kafka, Terraform, or Docker.
  • Hands-on experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, and Dataproc.
  • Familiarity with streaming architectures and event-driven integration patterns.
  • Strong SQL and Python programming skills.
  • Experience developing ETL/ELT pipelines and distributed data processing solutions.

Preferred experience

  • Knowledge of AI/ML data pipelines and MLOps concepts is a plus.
Qualification wording
3+ years of experience as a Data Engineer or similar role.
Experience with dbt, Spark, Kafka, Terraform, or Docker.
Hands-on experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, and Dataproc.
Familiarity with streaming architectures and event-driven integration patterns.
Strong SQL and Python programming skills.
Experience developing ETL/ELT pipelines and distributed data processing solutions. • Knowledge of data warehousing concepts and dimensional modeling.
Knowledge of AI/ML data pipelines and MLOps concepts is a plus.

Tools in this posting

  • Python
  • SQL
  • BigQuery
  • dbt
  • Docker
  • GCP
  • Kafka
  • Looker
  • Power BI
  • Spark
  • Terraform
Source — Tool mentions in context
• 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.
• 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.
Preferred Technical Skills: • Experience with dbt, Spark, Kafka, Terraform, or Docker. • Familiarity with streaming architectures and event-driven integration patterns.
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.
• 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.

About Kyndryl Holdings

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses.

In the employer’s words · Read in context

Posting record

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Open 4 monthsWe first saw this listing 147 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 28, 2026 · 147 days ago
Recorded sightings
223
Last seen by us
Oct 22, 2026

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Job description

View original posting ↗

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.


Who You Are

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 want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.

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Location & working pattern

Madrid, Spain

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.
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