Salary
$102k – $136k per year
Location
In office (Poznań)
Seniority
Principal · 8+ years exp
Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Sep 13, 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 team focused on designing and delivering modern data platforms and architectures that support advanced analytics, reporting, and data-driven decision-making. You will work closely with business stakeholders and engineering teams to define data strategies, shape architectural solutions, and ensure high standards of data quality, scalability, and performance across cloud-based environments.
Your tasks
- Design and develope data pipelines in both batch and streaming models
- Design and implement data processing frameworks, templates, and solutions
- Collaborate closely with business stakeholders and engineering teams
- Review, refine, and translate business requirements into architectural decisions
- Drive data quality, metadata management, and governance best practices
- Participating in the migration of solutions from on-premise environments to Google Cloud
- Data modeling and collaboration with data architects
- Automating data processing workflows and implementing DataOps best practices
- Optimizing the performance and costs of solutions running in cloud environments
Your skills
- At least 8 years of commercial experience as a Data Engineer, Lead Data Engineer, or Data Architect
- Strong expertise in SQL
- Strong expertise in Python
- Strong expertise in Spark or PySpark
- Experience in data architecture, data quality, metadata management, analytics, and reporting
- Strong experience with cloud data engineering tools within GCP
- Kowledge of BigQuery and designing analytical and data warehousing solutions
- Experience with Apache Beam and Dataflow (batch and streaming)
Nice to have
- Experience with BI tools such as Power BI, Qlik, or Apache Superset
- Experience in consulting environments
- Experience in Data Science
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