Associate Data Engineer, AI & Analytics

About the Role

In this role, you'll work in one of our IBM Consulting FutureNow Centers, delivering deep technical and industry expertise to a wide range of public and private sector clients. You will help solve real-world business challenges through technology, innovation, and consulting. From day one, you'll gain hands-on experience on real client projects, receiving professional and technical mentorship, career coaching, and access to certification opportunities. AI is part of how IBM delivers solutions, accelerates development, analyzes data, automates business processes, and helps clients solve complex business challenges. You will also develop the consulting, communication, and collaboration skills needed to work effectively with clients and multidisciplinary teams.

Your Role And Responsibilities

As an Associate Data Engineer, 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. You could support clients in various sectors, including healthcare, financial services, public sector, federal sector, automotive, energy, retail, industrial, or manufacturing. You will work side-by-side with experienced consultants, data engineers, data scientists, AI specialists, and business professionals. Through mentorship, certifications, structured learning, and hands-on client experiences, you'll develop the skills needed to build a successful career in data and AI consulting.

Requirements & Tech Stack

• 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 with the ability to solve data-driven business problems.
• Foundational understanding of Artificial Intelligence, Machine Learning, Generative AI, or data-driven decision-making concepts gained through coursework, projects, research, certifications, IBM Skills Build, or self-directed learning.
• Experience exploring 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.

Qualifications (Preferred)

• 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.