Data Engineer at Tietoevry1

We are looking for a Data Engineer to turn complex and fragmented data into trusted, well-structured information that enables analytics and AI across our digital ecosystem. In this role, you will design and evolve scalable data pipelines, build semantic and analytical models for Power BI, and ensure data is consistent, reliable, and well-governed across Microsoft Azure and Fabric environments. You will work closely with AI and ML teams to deliver high-quality datasets, support feature engineering, and improve how production data is collected, interpreted, and used. This position is ideal for someone who enjoys shaping the foundation of data-driven products—transforming raw information into meaningful insights that directly impact decision-making and AI capabilities. Responsibilities • Design and evolve robust ETL/ELT pipelines for analytics and AI workloads • Build and maintain high-quality Power BI models and curated datasets • Define and enforce data quality, governance, and consistency standards • Collaborate with AI/ML teams to deliver structured, feature-ready datasets • Investigate production data to identify noise, inefficiencies, and optimization opportunities • Contribute to data observability practices and help define meaningful data signals • Work cross-functionally with Data, AI, DevOps, Testing, and Platform teams • Maintain and improve data workflows within Azure and Microsoft Fabric ecosystemsQualifications • 3–5 years of experience in Data Engineering, Analytics Engineering, or similar roles • Strong hands-on experience with Power BI and dimensional/data modeling • Solid understanding of ETL/ELT architectures and modern data pipelines • Experience with Microsoft Azure data services and cloud-based data platforms • Strong SQL skills and proficiency in Python or similar scripting languages • Experience working with production-grade datasets and operational environments • Hands-on experience with Microsoft Fabric • Exposure to AI/ML projects from a data provisioning perspective • Understanding of data quality, lineage, or observability concepts • Familiarity with CI/CD practices applied to data workflows • Azure or Power BI certifications are a plus