Engineering Intern, Transport Analytics

About the Role

The Transport Analytics team is responsible for the data warehouse ecosystem that powers Kaleris' inland transport products. The team bridges supply chain logistics with high-performance data systems to address operational challenges. Kaleris is seeking an Engineering Intern with strong software engineering fundamentals and an interest in modern AI paradigms to contribute to quantifiable business outcomes.

Key Responsibilities

• Full-Stack & API Development: Design, build, and maintain lightweight web applications and RESTful APIs that interface with the analytics database ecosystem.
• Data & Analytics Integration: Query, transform, and leverage data warehouse pipelines to support user-facing analytical tools and internal operational dashboards.
• AI & Agentic Experimentation: Assist in prototyping modern AI workflows, including exploring Agentic AI frameworks, LLM integrations, and intelligent automation for transport analytics challenges.
• Cross-Functional Problem Solving: Collaborate with product managers and business stakeholders to translate complex business problems into reliable, efficient engineering solutions.
• Rapid Prototyping: Adapt to changing product needs and deliver functional proof-of-concepts (PoCs) for end-user validation.

Requirements & Tech Stack

• Education: Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical discipline.
• Polyglot Programming: Solid foundational knowledge and hands-on project experience in Python and Java.
• Database & Web Fundamentals: Practical understanding of relational database systems (SQL/NoSQL) and experience building web applications connected via backend DB APIs.
• Modern AI Awareness: Familiarity with Generative AI concepts, LLM application architectures, or emerging Agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, or tool-use patterns).
• Problem-Solving Mindset: A structured, analytical approach to troubleshooting and breaking down ambiguous business problems into clear technical components.

Preferred Qualifications

• Logistics & Data Pipelines: Prior internship, open-source contribution, or academic project experience involving data warehousing, ETL pipelines.
• Cloud & DevOps Tools: Basic understanding of cloud infrastructure (AWS / Azure) and containerization tools like Docker.
• Communication Skills: Excellent verbal and written communication skills.

What Success Looks Like

During the internship, success will be measured by the ability to deliver end-to-end engineering solutions that drive tangible output across at least one of these core business pillars:

• Cost Reduction: Automating manual workflows or optimizing query performance.
• Revenue Growth: Building feature prototypes or analytics tools that unlock new customer capabilities or identify upsell opportunities.
• Customer Satisfaction (CSAT): Resolving latency bottlenecks and improving data visibility.

Why Join Us?

• High Ownership & Impact: Work on live data infrastructure and customer-impacting products.
• Mentorship & Growth: Collaborate directly with senior data engineers, software architects, and technical product managers.
• Cutting-Edge Tech Stack: Gain hands-on exposure to enterprise data warehouses, full-stack web development, and next-gen AI frameworks.