Senior Microsoft Fabric Data Engineer - Tieto Tech Consulting (m/f/d)

Tieto (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’s team in Bulgaria consists of 500+ professionals specializing in the development of tailored digital solutions in diverse industries.

We are looking for a Senior Microsoft Fabric Data Engineer to join our growing Data & Analytics community and support a leading Banking client in modernizing its data platform and analytics capabilities.

This is a hands-on engineering role where you will design, build, and optimize scalable data solutions across the full analytics lifecycle, from data ingestion and transformation to modeling, governance, and reporting. You will work closely with business stakeholders, architects, analysts, and development teams to deliver secure, high-quality, and business-ready data products.

Microsoft Fabric is a strategic platform for this engagement, enabling trusted reporting, self-service analytics, and AI-ready data foundations.

Key responsibilities 

• Design, build, and maintain Microsoft Fabric solutions using Lakehouse, Warehouse, OneLake, Data Factory, and Notebooks

• Develop and optimize ETL/ELT pipelines for structured and semi-structured data sources

• Create data transformations using SQL, Python, Spark, and PySpark

• Design and implement scalable data models, including normalized (3NF) and dimensional/star-schema models

• Build and maintain Lakehouse and data warehouse architectures following medallion design principles

• Support reporting and analytics requirements through well-structured datasets and Power BI enablement

• Implement data quality, lineage, governance, monitoring, and reconciliation controls

• Apply security and access management practices for sensitive business and customer data

• Modernize and migrate legacy data platforms, including SQL Server, SSIS, Azure Synapse, and Azure Data Factory, to Microsoft Fabric

• Optimize platform performance, scalability, reliability, and operational costs

• Use Git, CI/CD, automated testing, and Azure DevOps to support high-quality software delivery

• Collaborate with business stakeholders to clarify requirements and translate them into scalable technical solutions

• Mentor team members and contribute to engineering standards, reusable frameworks, and best practices

Required experience & qualifications

• 6+ years of professional experience building data and analytics solutions on Azure

• Hands-on experience with Microsoft Fabric. Strong experience with Azure Synapse, Databricks or Snowflake

• Strong SQL skills and hands-on Python or PySpark

• Experience designing and building ETL/ELT pipelines and data integration solutions

• Good understanding of Lakehouse architecture, data warehousing, dimensional modeling, and analytical data structures

• Experience designing conceptual, logical, and physical data models

• Experience modernizing or migrating legacy data platforms to Microsoft Fabric

• Experience with Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, and Delta Lake

• Understanding of data governance, lineage, security, monitoring, and data quality

• Experience with Git-based development, CI/CD processes, and Azure DevOps

• Experience preparing data for reporting and analytics, ideally including Power BI

• Strong problem-solving and communication skills

• Ability to work effectively with both business and technical stakeholders

• Experience working in Agile delivery environments

A significant advantage would be 

• Experience in Banking or Financial Services

• Knowledge of regulatory reporting, risk, payments, fraud, or customer data domains

• Familiarity with Microsoft Purview

• Exposure to real-time or event-driven data processing

• Experience implementing data lineage, reconciliation, auditability, and role-based access control

• Microsoft Data Engineering certifications

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