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Data Engineering

Mexico City, Distrito Federal, Mexico

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 and scale RAG pipelines that turn unstructured IT logs and docs into vector embeddings

  • Keep vector databases healthy and fast enough for sub-second agentic retrieval

  • Build knowledge graphs and semantic layers that give agents infrastructure context

  • Build automated guardrails that detect noise, bias, or PII before data reaches models

  • Build, deploy and maintain CI/CD pipelines for data infrastructure

From the employer’s posting
design and scale the pipelines for Retrieval-Augmented Generation (RAG)
responsible for the health and performance of our vector databases
build knowledge graphs and semantic layers
build automated data guardrails to detect noise, bias, or PII
build, deploy, and maintain the CI/CD pipelines for our data infrastructure

What you’ll bring

All qualifications

Core experience

  • Expertise in data mining, data storage and ETL processes
  • Experience building data pipelines with tools like Glue, Databricks, Synapse or Dataproc
  • Experience with relational and NoSQL databases such as PostgreSQL, DB2, MongoDB
  • Strong problem-solving, analytical and critical thinking skills
  • Ability to communicate with technical and non-technical colleagues
Qualification wording
Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes
Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc
Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB
Excellent problem-solving, analytical, and critical thinking skills
Ability to communicate with both technical and non-technical colleagues

Tools in this posting

  • AWS
  • Azure
  • Databricks
  • MongoDB
  • NoSQL
  • PostgreSQL
  • GCP
Source — Tool mentions in context
Preferred skills and experience •Experience working as a Data Engineer and/or in cloud modernization •Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes •Professional certification, e.g. Open Certified Technical Specialist with Data Engineering Specialization •Cloud platform certification, e.g. AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate •Understanding of social coding and Integrated Development Environments, e.g. GitHub and Visual Studio •Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology 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.
Required skills and experience •Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes •Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc •Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB •Excellent problem-solving, analytical, and critical thinking skills •Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail •Ability to communicate with both technical and non-technical colleagues, to derive and translate technical requirements from business needs Preferred skills and experience

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

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier listing.

Status in our records
Live
First seen by us
Oct 15, 2026 · 7 days ago
Recorded sightings
26
Last seen by us
Oct 22, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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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

Your role As an AI Data Engineer at Kyndryl, you’ll be the architect behind the high-performance data infrastructure that powers our autonomous systems. We aren't just moving tables; we’re building the real-time pipelines that allow agentic AI to reason over the world’s most complex enterprise environments. Join Kyndryl and gain the trust, autonomy and teamwork to help define what comes next. What you will do Orchestrate Intelligence •Architect for RAG: You’ll design and scale the pipelines for Retrieval-Augmented Generation (RAG), transforming massive volumes of unstructured IT logs and documentation into optimized Vector Embeddings. •Scale vector infrastructure: You will be responsible for the health and performance of our vector databases (e.g., Pinecone, Milvus, or Weaviate), ensuring sub-second retrieval speeds for agentic reasoning loops. Master Data Transformation •Engineer semantic layers: Move beyond simple ETL to build knowledge graphs and semantic layers that provide agents with the necessary context to navigate complex infrastructure puzzles. •Automate data excellence: Using a keen eye for detail, you’ll build automated data guardrails to detect noise, bias, or PII (Personally Identifiable Information) before it reaches the model, ensuring our AI remains safe and impactful. Own the Backbone •Solve meaningful challenges: Serve as the bridge between raw, messy data sources and deep technical AI work, identifying and resolving quality issues at the source. •Progress to production: With a well-defined methodology and software engineering prowess, you will build, deploy, and maintain the CI/CD pipelines for our data infrastructure, ensuring that our context window remains fresh and reliable.


Who You Are

Required skills and experience •Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes •Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc •Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB •Excellent problem-solving, analytical, and critical thinking skills •Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail •Ability to communicate with both technical and non-technical colleagues, to derive and translate technical requirements from business needs Preferred skills and experience •Experience working as a Data Engineer and/or in cloud modernization •Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes •Professional certification, e.g. Open Certified Technical Specialist with Data Engineering Specialization •Cloud platform certification, e.g. AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate •Understanding of social coding and Integrated Development Environments, e.g. GitHub and Visual Studio •Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology


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

Mexico City, Distrito Federal, Mexico

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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