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Full-time
Posted 54d ago
~40 hrs/week
Remote in Sofia, Sofia-Grad, Bulgaria
Responsibilities
Design and implement modern data platforms, scalable pipelines, and analytics solutions using Microsoft Fabric and Databricks. Develop ETL/ELT processes and maintain medallion architectures to enable data-driven decision making.
Requirements
Requires 2+ years of experience in data engineering with strong proficiency in SQL and Python/PySpark. Candidates should be familiar with cloud data services (Azure/AWS) and modern development practices like Git and Agile.
Full job description
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.
We are looking for a Data Engineer with experience in Databricks and Azure to join our growing data engineering community. In this role, you will help design and implement modern data platforms, scalable data pipelines, and analytics solutions that enable organizations to make better data-driven decisions. You will work closely with data architects, BI developers, and customer stakeholders, working in an Agile environment to deliver reliable and high-quality data solutions.
Key responsibilities
Developing scalable ETL/ELT pipelines using Databricks, Spark/PySpark, and SQL
Designing and implementing data lakes, lakehouse architectures, and analytics platforms
Integrating data from multiple enterprise systems
Building analytics-ready datasets supporting BI, advanced analytics, and AI workloads
Optimizing Spark workloads, data models, and pipeline performance
Supporting data platform modernization and migration from legacy ETL solutions
Working in Agile teams with architects, analysts, and customer stakeholders
Contributing to engineering best practices, reusable patterns, and knowledge sharing
Required experience & qualifications
2 + years of experience in Data Engineering or similar roles
Strong programming skills in SQL and Python/PySpark
Hands-on experience with Databricks and Apache Spark
Experience with Azure or AWS data services
Experience building ETL/ELT pipelines and data integration solutions
Understanding of data lakes, data warehouses, and data modeling
Experience with Git and modern development practices
Ability to work in Agile teams and a consulting environment
Excellent spoken and written English language skills
A significant advantage would be
Experience in banking, authoritative reporting and manufacturing domains
Certifications in Databricks, Azure, or AWS
Experience in AI agent development and architecture, including Databricks Agent Bricks and Mosaic AI
Experience with data platform modernization or ETL migration projects
Experience with Delta Lake, Snowflake, or Microsoft Fabric
Experience with Power BI or other analytics tools
Experience working in international environments
Additional Information
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.
How many Consulting jobs are open in Sofia, Bulgaria right now?
There are currently 617 open consulting positions in Sofia, Bulgaria listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Consulting roles in Sofia, Bulgaria?
Companies currently hiring include Mercier Consultancy, Tieto, TheHouseofMercier, Hewlett Packard Enterprise, Baringa, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Consulting jobs in Sofia, Bulgaria?
Yes — 446 of the 617 open consulting positions offer remote or hybrid work (167 remote, 279 hybrid).
How do I apply for Consulting jobs in Sofia, Bulgaria?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.