Agentic AI Data Engineer at Kyndryl Deutschland GmbH

Tokyo, , Japan -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, ETL, ELT, Data Modeling, Distributed Systems, Cloud-Native Platforms, Data Governance, Vector Databases, AI, Machine Learning, DataOps, Pipeline Orchestration, Containerization, Orchestration, CI/CD

Industry

IT Services and IT Consulting

Description

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 As an Agentic AI Data Engineer at Kyndryl, you’ll design and implement scalable, high-performance data platforms and pipelines that power enterprise AI and analytics capabilities. This role combines deep technical expertise with hands-on development, enabling seamless data flow for Agentic AI frameworks and next-generation automation. You’ll work in a true builder’s environment, collaborating with architects, software engineers, and data scientists to deliver robust, governed, and actionable data solutions. Expect rapid innovation cycles, autonomy, and the opportunity to shape data infrastructure for cutting-edge AI systems. What You’ll Do · Design and optimise ETL/ELT pipelines and data models for structured and unstructured data. · Build scalable architectures supporting batch and real-time processing across cloud and on-prem environments. · Implement data quality frameworks, governance policies, and validation rules. · Develop API endpoints and integrations for AI agents to access structured information. · Manage vector databases and semantic layers for AI-driven search and contextual grounding. · Collaborate with cross-functional teams to deliver data solutions aligned with business and AI needs. · Mentor junior engineers and champion best practices in DataOps and pipeline orchestration. Who You Are Essential Qualifications · Strong programming skills in SQL, Python, and experience with ETL/ELT tools (Airflow, dbt, Kafka). · Expertise in data modeling, distributed systems, and cloud-native platforms (AWS, Azure, GCP). · Familiarity with data governance, lineage, and observability tools (DataHub, Great Expectations). · Experience with vector databases and feature store design for AI/ML workflows. · Ability to troubleshoot complex data issues and optimize performance. Preferred Skills · Background in regulated industries or environments with stringent compliance requirements. · Knowledge of containerization and orchestration (Docker, Kubernetes). · Familiarity with semantic modelling, metadata management, and emerging AI/ML data integration patterns. · Experience with CI/CD for data workflows, version control, and Agile methodologies. Why Join Us · Work on the next frontier: build data infrastructure for Agentic AI, a transformative technology. · Startup energy and enterprise scale: agile innovation backed by global resources. · Direct impact: your work enables AI-native transformation at enterprise scale. · Career Growth: Opportunity to lead and innovate in data engineering for AI systems. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address. We’re glad you’re here. Take a look around at the many exciting career opportunities we have available and apply today! Can’t find a suitable job opening? Drop off your CV/Resume Drop off your CV/Resume and a Recruiter will reach out with related career information that match your experience and expertise. Sign up for Job Alerts Create your account and then sign up for job alerts. When new jobs become available that meet your criteria, you’ll be alerted right away! At Kyndryl, we achieve progress the world depends on, with purpose. Beginning with the purpose that matters to you. Because here, you will be part of a culture designed with purpose. One that is restless, empathetic and devoted. Where we are committed to sustainable progress for our customers and supporting the communities where we work and live. All of you is what we want. And what we need. Join us, and together, we can advance the vital systems that power human progress.

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Responsibilities

As an Agentic AI Data Engineer, you will design and implement scalable data platforms and pipelines for enterprise AI and analytics. You will collaborate with architects, software engineers, and data scientists to deliver actionable data solutions.