Hultafors Group

Data Engineer

• Build and run our central Data Foundation platform, the single source of truth for the organization
• Work mainly in Azure with a lakehouse architecture (Azure Data Lake, Data Factory, Databricks) to collect, transform and consolidate data from ERPs, CRMs and other systems
• Enable analytics and Power BI reporting for Finance, Sales, Logistics, Sustainability, Management and other functions
• Design, develop and maintain data pipelines and models in our Data Foundation platform
• Build and optimize ingestion in Azure Data Factory from ERPs, CRMs and internal/external sources
• Develop and maintain transformation logic in Databricks (SQL and Python) and implement scalable lakehouse / dimensional models
• Profile, map and validate data to ensure high data quality and consistency for downstream analytics
• Monitor and operate pipelines and platform components (scheduling, performance, availability, error handling) according to SLAs
• Troubleshoot and resolve incidents, perform root cause analysis and implement preventative improvements
• Act as a 2nd/3rd line expert for data platform and pipeline issues
• Contribute to architecture, standards, reusable components and best practices
• Collaborate with business stakeholders, application owners, BI developers, data analysts, architects and vendors to translate requirements into data solutions
• Create and maintain technical documentation for pipelines, datasets and models

Sales

• Deliver high-quality service from order placement to delivery
• Act proactively towards customers in close collaboration with the International Key Account Managers
• Serve as a key link between our international key accounts and internal teams (sales, planning, purchasing, and warehouses)
• Take ownership of customer-related processes, primarily within Snickers Workwear ProtecWork, but also supporting other product areas when needed
• Contribute to continuous improvements in processes, service, and delivery

Data Engineer

International Sales Coordinator