Data Engineer
SoftwareOne is hiring a Data Engineer in Poland (remote) to design and maintain ETL/ELT data pipelines and cloud data solutions, working with Python, SQL, Azure Databricks, Microsoft Fabric, and Azure Data Factory, plus CI/CD and platform reliability work.
- Compensation
- Not disclosed
- Location
- Poland
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Professional Polish and English, written and verbal
- Valid visa for Poland
- Experience in Data Engineering, Backend Development, Cloud Engineering, or a similar role
- Good knowledge of Python and SQL
- Experience building ETL/ELT pipelines and data integration solutions
- Familiarity with Azure data services such as Data Factory, Databricks, Synapse, Storage, or Microsoft Fabric
- Understanding of Data Lake, Lakehouse, and Data Warehouse architectures
- Experience with Git, CI/CD processes, and automation tools such as Azure DevOps, GitHub Actions, Terraform, or Bicep
- Collaborative approach and problem-solving skills, working effectively with technical teams and clients
Nice to have
- Experience with Microsoft Fabric, Spark technologies, and monitoring solutions within Azure environments
- Microsoft Azure, Databricks, or Fabric certifications
- Experience with Infrastructure as Code
Full description
Practical Information:
Location: Poland | Reports to: Team Leader Data & AI | Work Arrangement: Remote | Visa Requirements: Valid Visa for Poland | Language Requirements: Professional Polish and English, written and verbal | Learn more: softwareone.com
Are you passionate about building modern data pipelines and cloud solutions?
Do you enjoy working with Python, SQL, and Azure to solve complex data challenges?
Are you excited to contribute to innovative Data & AI projects with diverse technical teams?
Key Responsibilities
- Design and maintain data pipelines and ETL/ELT processes
- Develop data integration solutions using Python, SQL, APIs, and automation
- Develop data processing solutions using technologies such as Azure Databricks, Microsoft Fabric, and Azure Data Factory
- Support the development and operation of data solutions using Azure and Microsoft Fabric technologies
- Contribute to Lakehouse, Data Lake, and Data Warehouse architectures
- Implement CI/CD pipelines and support deployment activities using DevOps best practices
- Monitor, troubleshoot, and enhance platform reliability, performance and security
- Collaborate with technical teams and stakeholders while contributing to documentation and engineering best practices
Job Requirements
- Experience in Data Engineering, Backend Development, Cloud Engineering, or a similar role
- Good knowledge of Python and SQL
- Experience building ETL/ELT pipelines and data integration solutions
- Familiarity with Azure data services such as Data Factory, Databricks, Synapse, Storage, or Microsoft Fabric
- Understanding of Data Lake, Lakehouse, and Data Warehouse architectures
- Experience with Git, CI/CD processes, and automation tools such as Azure DevOps, GitHub Actions, Terraform, or Bicep
- A collaborative approach and problem-solving skills, with the ability to work effectively with technical teams and clients
Nice to have
- Experience with Microsoft Fabric, Spark technologies, and monitoring solutions within Azure environments
- Microsoft Azure, Databricks, or Fabric certifications
- Experience with Infrastructure as Code
What we offer
Our company benefits vary based on your location, but always include: