Data Engineer
Sofia, Bulgaria
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingBuild 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
From the employer’s posting
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
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
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
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- Google Cloud (GCP)
- Terraform
Source — Tool mentions in context
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 country of employment | 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
- Solid data engineering skills with experience in building scalable, production-grade data systems - Proficiency with Databricks, Azure Data Factory, Python, SQL, Terraform, and REST APIs - Understanding of data quality, consistency, reliability, observability, and fault tolerance
What do we offer? - Opportunity to work with a modern data stack across Databricks, Azure Data Factory, Python, SQL, Terraform, and REST APIs - Real ownership and influence over how data platforms are designed and built
- Real ownership and influence over how data platforms are designed and built - Exposure to complex, large-scale cloud data across Azure, AWS, GCP, and M365 - Collaboration with skilled colleagues across platforms, analytics, product, and cloud cost optimization teams
Job description
SoftwareOne is a global provider of software and cloud solutions. With a presence in over 70 countries and more than 12,000 professionals, we help organizations optimize software investments, modernize applications, and unlock the value of cloud, data, and AI.
Our people are at the core of everything we do. We enable collaboration across borders, continuous learning, and opportunities to grow in a fast-evolving technology landscape. Whether your focus is on technology, customer success, or business operations, your ideas matter, and your contributions make a difference.
Join a global team where you can build your skills, work with leading technologies, and make a real impact for our customers.
The role
- 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 country of employment | 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
What we need to see from you
- Solid data engineering skills with experience in building scalable, production-grade data systems
- Proficiency with Databricks, Azure Data Factory, Python, SQL, Terraform, and REST APIs
- Understanding of data quality, consistency, reliability, observability, and fault tolerance
- Experience with data pipeline tooling, cloud platforms, API integrations, and event-driven architecture
- Knowledge of data modelling, partitioning, indexing strategies, CI/CD, and IaC
- Ability to collaborate across teams and translate business needs into practical data solutions
What do we offer?
- Opportunity to work with a modern data stack across Databricks, Azure Data Factory, Python, SQL, Terraform, and REST APIs
- Real ownership and influence over how data platforms are designed and built
- Exposure to complex, large-scale cloud data across Azure, AWS, GCP, and M365
- Collaboration with skilled colleagues across platforms, analytics, product, and cloud cost optimization teams
- Career growth in a global software and cloud solutions organization
Job Function
Services
Accommodations
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on careers-softwareone.icims.com. The employer’s form will show what is required.
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Source & posting history
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sofia, Bulgaria
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- 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 country of employment | 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.
- Status in our records
- Active
- First seen by us
- Aug 17, 2026
- Recorded sightings
- 119
- Last seen by us
- Oct 8, 2026
- Employer says posted
- Apr 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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