Data Engineer

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

We’re looking for exceptional talent to join our AI Agentic Innovation Hub at Kyndryl!  

The AI Agentic Innovation Hub stands as Kyndryl’s center of excellence for advanced and agentic artificial intelligence. Our mission is to lead the design and deployment of transformative AI solutions that bridge frontier research with real-world impact — scalable, secure, and driven by measurable value. 
Built upon a team of exceptional talent and cutting-edge technology, the Hub embodies a spirit of bold innovation and disciplined execution — an elite unit within one of the world’s leading technology companies. With national reach and global ambition, we partner with major organizations to tackle their most complex challenges, pioneering the next generation of intelligent, autonomous, and trusted systems that redefine what AI can achieve. 
 

Job Description 

As a Data Engineer at Kyndryl’s AI Innovation Hub, you’ll support the design, development, and maintenance of data pipelines and platforms that enable advanced analytics and AI solutions. Working under the guidance of senior engineers, you’ll gain hands-on experience with modern data tools and cloud technologies, contributing to the delivery of high-quality, governed, and scalable data assets for enterprise clients. 
 

Your Mission 

• Assist in building and maintaining ETL/ELT pipelines and data models for structured and unstructured data. 

• Support the development of scalable data architectures for batch and real-time processing in cloud and hybrid environments. 

• Participate in data quality assurance, validation, and governance activities. 

• Collaborate with data scientists, architects, and business teams to deliver data solutions aligned with project requirements. 

• Contribute to the integration of APIs and data services for analytics and AI use cases. 

• Document data workflows, processes, and best practices to ensure transparency and reproducibility. 

• Stay current with emerging data engineering tools, frameworks, and cloud services. 

Who You Are

Essential Qualifications 

• 2–4 years of experience in data engineering, analytics, or related technical projects. 

• Practical experience with Python and SQL for data processing and analysis. 

• Familiarity with ETL/ELT tools and frameworks (e.g., Airflow, dbt, Databricks). 

• Basic knowledge of cloud data services (AWS, Azure, GCP) and data pipeline tooling. 

• Experience with BI tools (Looker, PowerBI) for data visualization and reporting. 

• Understanding of data quality, governance, and validation concepts. 

• Fluent or native in Spanish; effective communication skills. 

Education & Certifications 

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related technical field. 

• Postgraduate or complementary studies in Data Engineering, Cloud Computing, or Data Science are valued. 

• Certifications or coursework in cloud plat