Tietoevry is hiring a Data Modeler - Tieto Tech Consulting (m/f/d)

Tieto Tech Consulting (MentorMate from 2001 to 2026) provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide. With a strong heritage of Nordic quality, local presence, and global-scale operations, we are backed by 8,500+ IT professionals. Our clients trust us for advanced data and analytics skills, top industry-specific expertise, specialized software R&D, and the capabilities of a multinational team. We are part of Tieto, a leading technology company with an annual revenue of approximately EUR 2bn. Tieto Tech Consulting’s team in Bulgaria consists of 500+ professionals specializing in the development of tailored digital solutions in diverse industries. We are looking for a Data Engineer/ Data Modeler to support the design and implementation of a modern Azure-based data platform. The ideal candidate combines strong hands-on data engineering skills with the ability to work closely with business stakeholders, structure unclear requirements, and translate them into scalable data models. The role is especially suitable for someone with experience in Azure Synapse, Azure Data Factory, Python/ PySpark, SQL, SAP source systems, data warehousing, and Power BI reporting enablement. Key Responsibilities Analyze and clarify business requirements from scattered or incomplete documentation Work directly with business departments to align requirements, data definitions, and reporting needs Translate business requirements into conceptual, logical, and physical data models Design and implement data models for: Silver layer: normalized / 3NF model; Gold layer: dimensional / star schema model Build and maintain medallion architecture in Azure Synapse, including silver and gold tables Develop data transformations and pipelines using Azure Synapse, Azure Data Factory, SQL, Python/ PySpark Integrate data mainly from SAP source systems Support data cataloging, governance, and lineage through Microsoft Purview Use Azure DevOps for repository management, CI/CD, and project tracking Enable reporting and analytics through well-structured datasets for Power BI Required Experience & Qualifications Strong experience with Azure cloud data platforms Hands-on experience with: Azure Synapse, Azure Data Factory, Python/ PySpark, SQL, Data Lake/ Lakehouse architectures Solid understanding of data modeling: 3NF / normalized models, Star schema/ dimensional modeling, Data warehouse design Experience working with SAP source systems Ability to translate business requirements into technical data models Experience with Git-based development and CI/CD, ideally in Azure DevOps Good understanding of reporting needs, ideally with Power BI Strong communication skills and ability to work with both business and technical stakeholders A significant advantage would be Experience with Microsoft Purview Experience in enterprise reporting, forecasting, or analytics platforms Background in SAP-heavy enterprise environments Experience with agile delivery and tools such as Jira/ Azure DevOps Microsoft data engineering certification is a plus