Data & AI Engineering Apprentice
Volvo Construction Equipment
Job Overview
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Job Description
About Volvo Construction Equipment
Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then Volvo Construction Equipment could be a perfect match. As part of Volvo Group, we are a global company driven by our purpose to build the world we want to live in. Together we develop and deliver solutions for a cleaner, smarter, and more connected world. By unleashing everyone’s full potential, we build a more sustainable future for all our stakeholders.
About the NATS Apprenticeship Program
The National Apprenticeship Training Scheme (NATS) is a program where Volvo India engages freshly graduated individuals for year-long apprenticeships. This program provides participants with practical training and skills development opportunities within the company’s various functions, specifically under Financial Services. It serves as a structured apprenticeship program for Volvo to train future workforce members.
The Role: Data & AI Engineering Apprentice
We’re building real systems, not just PowerPoint slides. We are looking for a hands-on intern who is eager to build, ship, break, fix, and deploy real-world data and AI systems. If you are seeking exposure to ETL pipelines, Python engineering, Generative AI use cases, and Azure cloud deployment, and you are ready to write production-grade code, then this 12-month full-time internship is for you. You won’t be shadowing; you’ll be contributing directly.
What You’ll Actually Do
- Build and maintain ETL pipelines for structured and unstructured data.
- Write clean, modular Python code that moves from notebook to production.
- Integrate Generative AI models into real applications (LLMs, APIs, prompt engineering).
- Deploy and manage solutions on Microsoft Azure.
- Work with databases and ensure data quality and reliability.
- Debug, optimize, and improve systems that people actually use.
Foundational Knowledge Required
Python
- Strong fundamentals (functions, OOP, data structures).
- Comfortable with Pandas and working with real datasets.
- Ability to consume APIs and handle JSON.
Data & ETL
- Clear understanding of what ETL means and why it matters.
- SQL basics (joins, aggregations, filtering).
- Handling CSV, Excel, and database data without fear.
Generative AI
- Basic understanding of how LLMs work.
- Familiarity with prompt engineering concepts.
- Exposure to OpenAI or similar APIs is a plus.
Azure Cloud
- Basic understanding of Azure services such as: Azure Storage, App Services, Azure Functions.
- Azure Data Factory (good to have).
- Awareness of deployment concepts (CI/CD, containers is a bonus).
Tools
- Git and GitHub.
- Comfortable working in VS Code or similar.
What We Value More Than Tools
- Strong logical thinking.
- Curiosity and fast learning.
- Ability to debug independently.
- Ownership mindset – not “that’s not my task.”
You don’t need to be an expert. You do need to understand fundamentals and be willing to level up fast.
What You’ll Gain
- Real production exposure to Data Engineering and AI systems.
- Cloud deployment experience on Azure.
- Direct mentorship.
- A serious technical growth curve over 12 months.
Key skills/competency
- Python
- ETL
- Generative AI
- Azure
- SQL
- Data Quality
- Prompt Engineering
- Git
- Data Structures
- OOP
How to Get Hired at Volvo Construction Equipment
- Research Volvo Construction Equipment's culture: Study their mission for sustainable transport, values like teamwork and care, and recent news on their commitment to innovation. Explore employee testimonials on LinkedIn and Glassdoor to understand the work environment.
- Tailor your resume for Data & AI Engineering: Highlight Python proficiency, ETL knowledge, Generative AI understanding, and any Azure exposure. Use keywords directly from the job description to align with applicant tracking systems (ATS).
- Showcase practical project experience: Emphasize hands-on projects involving data pipelines, Python scripting, SQL, or any personal projects with LLMs or cloud deployments (Azure preferred). Quantify your impact where possible.
- Prepare for technical and behavioral interviews: Expect questions on Python fundamentals, data structures, SQL queries, and ETL concepts. Be ready to discuss your understanding of Generative AI, Azure basics, and problem-solving approaches, demonstrating curiosity and an ownership mindset.
- Highlight your learning agility and ownership: During interviews, emphasize your ability to learn quickly, debug independently, and take full ownership of tasks, aligning with Volvo Construction Equipment's values for this apprenticeship role.
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