Associate Data Engineer 2027 – AI & Analytics

About the role

In this role, you'll work in one of our IBM Consulting FutureNow Centers, where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer clients locally based skills and technical expertise to drive innovation and adoption of new technology.

As an Associate at IBM, you'll work with clients to help solve real-world business challenges through technology, innovation, and consulting. From day one, you'll gain hands-on experience on real client projects while receiving professional and technical mentorship, career coaching, and access to certification opportunities.

At IBM, AI is part of how we deliver solutions, accelerate development, analyze data, automate business processes, and help clients solve complex business challenges. You'll also develop the consulting, communication, and collaboration skills needed to work effectively with clients and multidisciplinary teams throughout your career.

Responsibilities

As an Associate Data Engineer at IBM, you'll help organizations transform data into actionable insights that improve decision-making, accelerate innovation, and solve complex business challenges. As part of our AI & Analytics practice, you'll work with data, analytics, and Artificial Intelligence technologies to help clients uncover insights, improve performance, and create business value.

• Support healthcare, financial services, public sector, federal sector, automotive, energy, retail, industrial, or manufacturing clients—no two projects are exactly alike.
• Work side-by-side with experienced consultants, data engineers, data scientists, AI specialists, and business professionals.
• Develop skills through mentorship, certifications, structured learning, and hands-on client experiences to build a successful career in data and AI consulting.

Requirements

Required Technical and Professional Expertise

• Currently completing or recently completed a bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, Analytics, or a related field.
• Foundational knowledge of programming languages such as Python, SQL, Java, or similar technologies.
• Foundational understanding of databases, data structures, data processing, and analytics concepts.
• Foundational understanding of Artificial Intelligence, Machine Learning, Generative AI, or data-driven decision-making concepts gained through coursework, projects, research, certifications, IBM SkillsBuild, or self-directed learning.
• Exposure to cloud technologies, modern data platforms, or data architectures through coursework, labs, projects, hackathons, or internships.
• Ability to communicate technical findings and data-driven insights to both technical and business audiences.
• Demonstrated application of programming, data, or analytical skills through coursework, projects, research, internships, hackathons, or personal learning.

Preferred Technical and Professional Experience

• Exposure to analytics, business intelligence, Artificial Intelligence, or cloud-based data projects.
• Familiarity with data visualization tools, machine learning concepts, cloud platforms, or modern analytics solutions.

Qualifications

Preferred Education: Bachelor's Degree