- 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?
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
As our new Data Engineer, you will join our Data & AI team and contribute to modern cloud-based data solutions for our clients. You will support data integration, automation, and operational activities while working with technologies across the Microsoft Azure and Microsoft Fabric ecosystem. Collaborating with Data Engineers, BI Developers, Architects, and Cloud Engineers, you will help deliver scalable and sustainable solutions that support business needs.
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:
- Global company culture: We defined our 6 core values through our company culture (https://www.softwareone.com/en/our-story/our-values)
- A mentor who supports your successful start and is at your side with advice and action
- President’s Club: Recognition awarded by leadership and your peers
- Flexible work: Do great work from anywhere but also visit the local office to deliver excellence in team relationships
- Lifelong education: A variety of training and development opportunities
- Hire to Grow: We optimize our internal structures and feedback culture constantly to be your Employer of Choice, today and in future
Company description SoftwareOne and Crayon have come together to form a global, AI-powered software and cloud solutions provider with a bold vision for the future. With a footprint in over 70 countries and a diverse team of 13,000+ professionals, we offer unparalleled opportunities for talent to grow, make an impact, and shape the future of technology. At the heart of our business is our people.
We empower our teams to work across borders, innovate fearlessly, and continuously develop their skills through world-class learning and development programs. Whether you're passionate about cloud, software, data, AI, or building meaningful client relationships, you’ll find a place to thrive here. Join us and be part of a purpose-driven culture where your ideas matter, your growth is supported, and your career can go global.
SoftwareOne
