Data Engineer

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 platforms (AWS, Azure, GCP) or data engineering tools are a plus. Demonstrated interest in continuous learning and professional growth in data engineering. Preferred Skills Exposure to data pipeline development and tooling (Databricks, Cloudera, Teradata, Snowflake). Awareness of DevOps/DataOps or CI/CD practices for data workflows. Familiarity with containerization (Docker) and orchestration (Kubernetes). Cloud platform certification or relevant coursework. Interest in learning about data governance, metadata management, and AI/ML data integration. Soft Skills Curiosity and learning mindset, eager to explore new technologies and methodologies. Clear and structured communication, both in documentation and team discussions. Analytical thinking and attention to detail. Collaborative spirit, working effectively in multidisciplinary teams. Proactive attitude, contributing ideas and energy to drive innovation. #AgenticAIBeing 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.