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.
Key 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
Required experience & qualifications
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
A significant advantage would be
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
Industries like financial services/banking, healthcare, manufacturing or retail
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
Stay alert to recruitment scams:
• Tieto only communicates via @tieto.com email addresses.
• We never ask candidates to pay fees or share financial details during recruitment.
• If you receive a suspicious message claiming to be from Tieto, don't respond — verify it via our official careers site.
• For more information visit Important Advisory Regarding Recruitment Fraud | Tieto Blog