Senior Data Engineer - Logistics Data Domain
Volvo Group
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.
What We Offer
A dynamic, collaborative environment where new ideas are encouraged and valued, with opportunities to work with modern Azure-based data engineering practices within a global enterprise.
You will benefit from career growth, competence development, and exposure to cross-functional expert communities, as well as the chance to play a key role in shaping the data landscape for Logistics globally.
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.
Group Digital & IT is the hub for digital development within Volvo Group. Imagine yourself working with cutting-edge technologies in a global team, represented in more than 30 countries. We are dedicated to leading the way of tomorrow’s transport solutions, guided by a strong customer mindset and high level of curiosity, both as individuals and as a team. Here, you will thrive in your career in an environment where your voice is heard and your ideas matter.