Senior Data Engineer - Logistics Data Domain
BELGIUM Logistics
Job description
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.
Volvo Group Digital Technology & Operations (DTO) is a new division established to integrate the capabilities of VG Digital & IT and VG Connected Solutions to accelerate the digital transformation in Volvo Group. The organizational set up is structured around domains, digital products with functions for digital excellence to deliver outstanding customer experience.
Joining the new DTO division means being part of a fast-moving digital product-oriented organization where teams truly own what they build from idea to delivery. In DTO, we work in agile, cross-functional teams, mastering the latest technology, and creating outstanding digital experiences that make a real difference for our colleagues and Volvo Group customers around the world. We put people first and build our culture on trust, passion, customer success, change, and performance. If you want to grow, collaborate across functions and entities, and help shape the future of digital products within Volvo Group, DTO is a great place to be.
Job Category: Advanced Analytics
Organization: Volvo Group Digital Technology & Operations
Travel Required: Occasional Travel
Requisition ID: 27915