Associate Data Engineer – Data Services - 2027

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 Data Services practice, you'll support the design, integration, movement, and management of data across enterprise environments.

• Support healthcare, financial services, public sector, federal sector, automotive, energy, retail, industrial, or manufacturing clients—no two projects are exactly alike.
• Work alongside experienced consultants, data engineers, cloud specialists, and business professionals to help clients modernize their data ecosystems.
• Develop technical and consulting skills through mentorship, certifications, structured learning, and real client project experience.

Requirements

• 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 Python, SQL, Java, or other programming languages used for data engineering and analytics.
• Foundational understanding of databases, data structures, data processing, and analytics concepts with the ability to solve data-driven business problems.
• Exposure to data engineering, ETL/ELT, reporting, cloud technologies, or data projects through coursework, internships, research, hackathons, or personal learning.
• Understanding of cloud computing concepts and modern data architectures.
• 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 Qualifications

• Exposure to data engineering, cloud-based data solutions, analytics, or large-scale data management projects.
• Familiarity with data integration, ETL/ELT processes, cloud platforms, databases, or data visualization tools.