Senior Data Analyst

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 we could be a perfect match. 

We value your data privacy and therefore do not accept applications via mail. 

Who we are and what we believe in 
We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.

Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. ​We are passionate about what we do, and we thrive on teamwork. ​We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. 

Trucks Technology & Industrial Division hire team players who are ready to create real customer impact. Our decentralized teams work close to our customers, with speed and autonomy, to build what they truly need. 
Join us to collaborate on innovative, sustainable technologies that redefine how we design, build, and deliver value. Bring your curiosity, your expertise, and your collaborative energy, and together, we’ll turn bold ideas into tangible solutions for our customers and contribute to a more sustainable tomorrow. 

Aftermarket Technology department has a strong experience in vehicle technologies, diagnostics, preventive and predictive maintenance. We believe we have a leadership role to play in driving Innovative data-driven services to support our customers. To develop the trucks services technology and capabilities, we are looking for an experienced data engineer.

We are working Agile so we strongly believe in task sharing within the team and T-shape competences. This allows us to be very proactive in developing proof of concepts to support our brands.

To be successful in your mission, you need a strong understanding of Azure Dev Ops platform and Apps services. You will work closely with our Enterprise Architect to define and implement the best architectures, whether we are looking for proof of concept or for an industrialized solution. You need to enjoy working in a cross functional team

To support us in our various initiatives, the following skills are required:

Data Engineering & Databases

• Strong expertise in SQL (advanced querying, optimization, performance tuning) with experience using T-SQL in Azure SQL Database and SQL Server.
• Hands-on experience with relational databases (PostgreSQL, Azure SQL Database)
• Experience building and maintaining CI/CD pipelines and working with large-scale datasets.
• Strong experience with the Databricks ecosystem, including PySpark development, Delta Lake, and Unity Catalog for data governance.

Programming & Data Processing

• Strong programming skills in Python and PySpark for data processing and backend integration.
• JS/Typescript for backend or data-driven applications.
• Experience using AI-assisted development tools (e.g., GitHub Copilot) to support rapid prototyping, code generation, and productivity improvements.

Azure Cloud & Data Stack

• Proven experience with Microsoft Azure data services:
• Azure Databricks / Data Factory/Pipeline
• Azur portal configuration
• Azure Event Hub
• Experience with Azure DevOps and GitHub for CI/CD

Web Applications & & AI Integration

• Experience working closely with enterprise architect and data to understand the end‑to‑end solution lifecycle (data prep, deployment, monitoring).
• Experience in developing REST API to expose data to web applications:
• REST APIs
• microservices architectures
• Ability to design data flows that support complex web frontends
• Basic Knowledge of Azure AI / ML services:
• Azure OpenAI Service for AI agents and NLP
• Experience implementing vectorization and embedding techniques for semantic search and AI applications.
• Experience working with vector database platforms (PaaS) such as Azure AI Search, including vector indexing, similarity search, and integration with AI services.
• Familiar with Retrieval-Augmented Generation (RAG) architectures using vector search and Azure AI services.

Education, Experience, Knowledge and Skills

A Master degree in a quantitative field: Computer Science, Statistics, Mathematics or Engineering.

At least 3-5 years of experience as data engineer.

Behavioral Competencies

• Customer and innovation mindset
• Creativity and self-development skills
• Pro-active and enjoying working in a team
• Structured and curious