First seen by Alion on Oct 12, 2026.
Empower data-driven innovation — reshape the future of data engineering!
Kraków-based opportunity with hybrid work model.
As a Mid-Level Data Fabric Engineer, you will be working for our client, a leader in digital transformation, dedicated to delivering cutting-edge data engineering solutions. Join a dynamic team focused on building scalable, reliable data platforms that empower organizations to harness their data’s full potential. This role offers an exciting chance to contribute to high-impact projects at the forefront of data technology.
Your main responsibilities:
- Collaborate within a Data Fabric project team to design and deliver data engineering solutions that meet client requirements
- Drive data integration, management, and optimization efforts across diverse platforms
- Support the development and maintenance of data pipelines, workflows, and architecture components
- Engage with stakeholders to gather and analyze data needs, ensuring seamless delivery of solutions
- Troubleshoot and resolve data platform issues to maintain high system performance
- Maintain comprehensive documentation of data processes and technical specifications
You're ideal for this role if you have:
- At least 3 years of experience in Data Fabric, data engineering, or related data platforms
- Proficiency in data pipeline development, ETL, and data integration techniques
- Strong collaboration skills in fast-paced, project-driven environments
- Experience working with cloud-based data solutions is a plus
- Familiarity with relevant data technologies and programming skills (such as SQL, Python, or Spark)
It is a strong plus if you have:
- Certifications in data engineering or cloud platforms
- Knowledge of data governance and security best practices
Language Required for the role:
- Good command of English (Communicative level)
Eligibility for the role:
- Only candidates with an existing legal right to work in the European Union will be considered for this role.
#MAKEYourCareerBETTER
Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.
Tech stack
- Data Pipeline Development
- ETL
- Data Integration
- Data Fabric
- SQL
- Python
- Apache Spark
- Data architecture
- Cloud Data Solutions
- data governance

