Salary
$102k – $136k per year
Location
In office (Poznań)
Seniority
Architect · 8+ years exp
Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 14, 2026.
Overview
Company
Impact
Profile match
GFT Technologies is a Stuttgart company founded in 1987 that builds software for banks, insurers and industrial firms. Its engineers work on core banking modernisation, cloud migration and artificial intelligence projects for financial institutions worldwide. The company operates delivery centres across Europe, Latin America and Asia.
Type of contract: B2B contract
Salary range: 200 - 265 PLN/H
What will you do?
Join a data transformation initiative focused on designing and delivering modern data solutions on Google Cloud Platform. You will lead architectural decisions, build scalable data processing frameworks, optimize data platforms, and work closely with business stakeholders and engineering teams to drive data quality, analytics, and reporting capabilities.
Your tasks
- Develop and optimize ETL pipelines
- Develop and optimize BigQuery datasets
- Design and implement data processing logic and reusable templates
- Closely collaborate with business stakeholders and engineering teams
- Review and refine requirements and translate them into architectural decisions
- Drive data architecture standards and best practices
- Support data quality, metadata management, analytics, and reporting initiatives
Your skills
- At least 8 years of commercial experience as a Data Lead or Data Architect
- Strong experience with the GCP Data Engineering stack is a must
- Strong SQL and Python skills
- Very good knowledge of BigQuery
- Experience in data architecture
- Experience in data quality management
- Experience in metadata management
- Experience in analytics and reporting solutions
- Experience collaborating with business stakeholders and technical teams
Nice to have
- Experience with BI tools such as Power BI, Qlik, or Apache Superset
- Experience with migration projects
- Experience working with legacy databases
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