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

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