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
At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.
Diversity, equity and inclusion | Sustainability | Tieto
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Learn moreWe are Tieto - A leading software and technology consulting company
We provide customers across different industries with mission-critical solutions through our specialized software businesses Tieto Caretech, Tieto Banktech and Tieto Indtech as well as Tieto Tech Consulting business.
Our around 14 000 talented vertical software, design, cloud and AI experts are dedicated to empowering our customers to succeed and innovate with latest technology.
Tieto’s annual revenue is approximately EUR 2 billion. The company’s shares are listed on the NASDAQ exchange in Helsinki and Stockholm, as well as on Oslo Børs.
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