Data Engineer
Summary
Build scalable data pipelines for cloud cost optimization using Databricks, Azure Data Factory, Python, and SQL to process APIs, databases, and event streams.
- Want to build scalable data pipelines that power cloud cost optimization for our enterprise customers?
- Excited to join our Services team and work with a modern data stack?
- Would you like to join SoftwareOne, now combined with Crayon, as part of a global software and cloud solutions provider with 13,000+ professionals across 70+ countries?
Practical Information:
Location: Bulgaria, Romania, Poland | Reports to: Head of Engineering for SPI Optimization, Insights & Advisory | Work Arrangement: Full time | Visa Requirements: Valid working visa for Bulgaria | Language Requirements: Fluent/Professional Bulgarian and English, written and verbal | Learn more: softwareone.com
As a Data Engineer at SoftwareOne, you will build trusted data infrastructure for cloud cost optimization and data-driven decisions. Working with modern data engineering tools including Databricks, Azure Data Factory, Python, SQL, Terraform, and REST APIs, you will help ingest, validate, and process data from APIs, databases, and event streams. This role is ideal for someone who enjoys building reliable, production-grade data systems with a strong focus on data quality, performance, and scalability.
Key Responsibilities
- Build and maintain scalable data pipelines and ingestion frameworks for APIs, databases, and streaming sources
- Design reliable data fetching, validation, and processing systems that ensure high data quality and consistency
- Optimize data systems for performance, scalability, cost efficiency, and availability
- Implement monitoring, observability, and fault-tolerant architecture across batch and real-time workflows
- Collaborate with platforms, analytics, and product teams to deliver trusted datasets and production-ready solutions
- Contribute to data architecture, engineering standards, and best practices across the team