About
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, backed by 8,500+ IT professionals. Clients trust them for advanced data and analytics skills, top industry-specific expertise, specialized software R&D, and the capabilities of a multinational team. 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.
Responsibilities
•Design and deliver end-to-end data platforms for analytics, BI, machine learning and AI-ready data products
•Build and optimise scalable ETL/ELT pipelines with Databricks, Spark/PySpark, SQL and Python
•Own data processing logic, transformations and platform performance for reliable, scalable solutions
•Design lakehouse architectures such as Medallion and Delta Lake aligned with business needs
•Improve pipelines, development practices and delivery processes
•Collaborate with architects, analysts and stakeholders to turn requirements into effective solutions
•Apply data quality, governance and security standards across the platform
•Mentor engineers and share knowledge across the team
•Lead or contribute to technical design discussions and influence architecture decisions for data platform solutions
Requirements
•5+ years' experience in data engineering or similar roles
•Strong hands-on experience with Spark/PySpark, SQL, Python and Databricks or similar platforms
•Experience building ETL/ELT pipelines and data warehouse or lakehouse architectures
•Solid understanding of data modelling, warehousing and batch or real-time processing
•Experience with cloud platforms (Azure or AWS) and modern data platforms
•Experience applying data governance, security, quality, lineage and lifecycle practices
•Experience with orchestration, CI/CD, automated deployments or Infrastructure as Code
•Experience building production-grade, observable and scalable data pipelines
•Ability to work independently on complex, large-scale projects
•Strong communication skills across technical and business audiences
Significant advantage
•Experience with data platform modernisation, cloud migration or AI/analytics use cases
•Experience preparing datasets for machine learning, GenAI or advanced analytics
•Experience with Kafka, Spark Structured Streaming, Delta Lake or Unity Catalog
•Familiarity with Microsoft Fabric, Snowflake, Azure Synapse or AWS Redshift
•Relevant Databricks, Azure or AWS certifications
•Experience in industries like financial services/banking, healthcare, manufacturing or retail
