Data Engineer
Posted 2 Jul 2026
Advertised as “Senior Data Engineer - Tieto Tech Consulting (m/f/d)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- People management
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Job Description
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