Data Engineer (34273)

Your Team Service Operations & Technology (SO&T) develops service operations and technical solutions that support uptime, profitability, sustainability, and new business models across the Volvo Group. The team works with data-driven services, AI-enabled processes, digital solutions, and technologies that strengthen the end-to-end value chain. What you will do: • Collaborate with stakeholders to gather and understand data requirements, translating them into scalable technical solutions. • Design, develop, and optimize data pipelines using Azure services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. • Implement data ingestion processes from databases, APIs, enterprise systems, and streaming platforms. • Develop and maintain data transformation and enrichment processes to ensure data quality, consistency, and reliability. • Build and manage data storage solutions using Azure Blob Storage, Azure SQL Database, Azure Data Lake, and Azure Cosmos DB. • Design, develop, and maintain Power BI semantic models, including data relationships, measures, calculated columns, hierarchies, and reusable enterprise data models. • Develop and maintain Power BI Dataflows for standardized, reusable, and governed data transformation and preparation. • Optimize Power BI semantic models and Dataflows for performance, scalability, refresh efficiency, and effective utilization of Power BI capacity and resources. • Implement security measures to protect sensitive data and ensure compliance with data security, governance, and regulatory requirements. • Monitor and optimize the performance of data pipelines, Dataflows, and semantic models to meet SLAs, refresh schedules, and scalability requirements. • Work closely with data scientists, BI developers, and analysts to provide reliable and reusable data products for reporting, machine learning, and advanced analytics. • Document technical specifications, data lineage, data flows, semantic models, and system architectures. • Stay updated on Azure, Microsoft Fabric, Power BI, and data engineering technologies and best practices. Required Qualifications: • Bachelors or Masters degree in Computer Science, Engineering, or a related field. • Proven experience as a Data Engineer, with a focus on the Microsoft Azure platform. • Proficiency in SQL and experience with relational databases. • Strong programming skills in languages such as Python or Java are desired. • Hands-on experience developing and maintaining Power BI semantic models, including dimensional modeling, relationships, DAX measures, and model optimization. • Experience developing Power BI Dataflows, including data transformation, reusable data entities, refresh management, and integration with enterprise data sources. • Understanding of Power BI Service architecture, gateways, scheduled refreshes, data lineage, and workspace-based deployment and governance. • Experience building custom DevOps processes and DevOps Boards for project lifecycle, team velocity, collaboration, and integration. • Familiarity with data governance, data security, and compliance standards. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Preferred Qualifications: • Experience with Microsoft Fabric, including Fabric Data Factory, Lakehouse, Warehouse, or Direct Lake architecture. • Experience optimizing Power BI semantic models, refresh processes, and capacity utilization in enterprise environments. • Previous experience with Volvo Production System. • Experience with Volvo legacy software such as SPOT, VIPS, GLOPPS, etc. • Experience with SAP modules. • Previous experience with Warehouse Management Systems (WMS). • Previous experience working in a Supply Chain/Aftermarket environment.