Data Modeler

🔥 4 hours ago

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Logo of Tieto

Tieto

10,000+ employees

💼 Consulting

☁️ SaaS

🤖 Artificial Intelligence

Consulting • SaaS • Artificial Intelligence

Tieto is a Nordic IT services and software company that helps organizations turn ideas into results by providing AI and data solutions, software products, cloud and software development, and design and consulting services. It serves multiple verticals — including banking (Tieto Banktech), healthcare (Tieto Caretech), industrial/manufacturing (Tieto Indtech), telecom, public sector, energy and paper and fibre — and emphasizes AI, cloud and digital transformation for enterprise customers.

📋 Description

• 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

🎯 Requirements

• 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 • Experience with Microsoft Purview is a significant advantage • Background in SAP-heavy enterprise environments • Experience with agile delivery and tools such as Jira/ Azure DevOps • Microsoft data engineering certification is a plus

🏖️ Benefits

• Diversity, equity and inclusion • Flexible working hours

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