Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

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

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

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

View original posting ↗

Why SoftwareOne?

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

SoftwareOne welcomes applicants from all backgrounds and abilities to apply. If you require reasonable adjustments at any point during the recruitment process, email us at reasonable.accommodations@softwareone.com.

Please include the role for which you are applying and your country location. Someone from our organization that is not part of the decision-making process will be in touch to discuss your specific needs and we will make every effort to accommodate you. Any information shared will be stored securely and treated in the strictest of confidence in line with GDPR.

At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program.

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

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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.

Open source at careers-softwareone.icims.com ↗Read the full description ↓

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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