• Develop, deploy and maintain data solutions on Outokumpu Global Data Platform, an enterprise-level data platform to provide common data availability for reporting, applicational and analytical use cases.
• Work mostly with structured data including financial data, manufacturing data, procurement data, sales & marketing data, R&D data and supply chain management data, and some image & Io T data.
• Design and implement scalable, robust, and secure data solutions on Azure, including Databricks Lakehouse, ETL/ELT processes, and real-time data processing.
• Create and maintain efficient data models and schemas.
• Optimize data solutions for performance, scalability, and cost-efficiency.
• Ensure security best practices and compliance across the Azure architecture.
• Provide support for data-related issues and troubleshoot problems as they arise.
• Collaborate with cross-functional teams to define and implement data strategies.
• Provide guidance and mentorship to junior engineers.
• Stay current with the latest developments in Azure technologies and best practices.

• Bachelor’s degree in Computer Science or related field (or equivalent experience).
• Minimum of 3 years of experience in Azure data engineering and Databricks Lakehouse.
• Advanced programming skills in Databricks.
• Proficiency in Azure Databricks, Azure Data Factory, Azure Data Lake, Azure SQL Database, etc.
• Familiar with CI/CD pipelines using Azure Dev Ops.
• Familiar with networking, security, identity management and serverless computing in Azure.
• Familiar with scripting and automation using Power Shell, ARM templates, or similar tools.
• Excellent problem-solving skills and ability to troubleshoot complex issues.
• Strong communication skills, with the ability to collaborate effectively with cross-functional teams.

• People-oriented company culture with positive and smart colleagues.
• Opportunity to develop skills in a truly international environment.
• Play a significant role in shaping the future of Outokumpu’ s IT organization.