Senior Data Engineer - Logistics Data Domain

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.

About The Role

We are looking for a passionate and skilled data engineer to join the Production Logistics data domain within Volvo Group Digital & IT.

You will design, build, and optimize data pipelines and contribute to the development of scalable data products that support critical logistics and manufacturing operations.

This role is hands-on, highly collaborative, and ideal for someone who enjoys turning complex data challenges into reliable, production-grade solutions.

Key Responsibilities

• Design, develop, and optimize data pipelines and workflows using Azure Databricks and Python.
• Implement and maintain data solutions across the Azure Data Platform (Data Lake, Data Factory, Databricks, etc.).
• Develop and maintain APIs supporting data ingestion, data sharing, and interoperability.
• Collaborate closely with business stakeholders to gather requirements and translate them into technical solutions.
• Ensure data quality, security, and compliance across all solutions.
• Integrate data solutions into existing business processes and cross-functional systems.
• Continuously improve performance, cost-efficiency, and scalability of data systems.
  
  

Required Skills & Qualifications

• Strong expertise in Azure Databricks, Python, and Spark (must-have).
• Solid experience with Azure Data Services, such as:Azure Data Lake and Azure Data Factory
• Experience with API development (REST/JSON or equivalent).
• Solid understanding of ETL processes, data modeling, and fundamental data architecture principles.
• Familiarity with CI/CD pipelines and version control (Git, etc.).
• Strong problem‑solving skills and structured way of working within an agile delivery model.
• Excellent communication and collaboration skills — you enjoy interacting with business stakeholders and cross-functional teams.
  
  

Nice-to-Have Skills

• Experience with big data processing and performance tuning in Spark.
• Knowledge of data governance, lineage, and security best practices.
• Exposure to Power BI or similar visualization tools.