Data Modeler - Tieto Tech Consulting (m/f/d)

Навыки

• Agile
• Azure
• CI/CD
• Коммуникация
• Data Lake
• DWH
• Git

О компании и продукте

• With a strong heritage of Nordic quality, local presence, and global-scale operations, we are backed by 8,500+ IT professionals
• 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

Задачи

• 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
• 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

Требования

• 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
• 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
• Hands-on experience with: Azure Synapse, Azure Data Factory, Python/ PySpark, SQL, Data Lake/ Lakehouse architectures

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