Salary
$80k – $106k per year
Location
In office (Poznań)
Seniority
Senior · 7+ years exp
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 1, 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: 155 - 205 PLN/H
What will you do?
As an Expert Data Consultant, you will help design and build modern data platforms and products across cloud and on-premise environments. You will work closely with business and technical stakeholders to create scalable data solutions, optimize data processing pipelines, and support data-driven decision making within agile delivery teams.
Your tasks
- Design, build, test and deploy cloud and on-premise data models and transformations
- Develop and maintain ETL and ELT pipelines
- Onboard new data sources and build data ingestion frameworks
- Design, build, test and deploy cloud data warehouses and data products
- Optimize data views and schemas for reporting and visualization use cases
- Review, interpret and implement business and technical requirements
- Collaborate on backlog refinement, user stories and epics in Jira
- Ensure data platform performance, scalability and reliability
Requirements
- 7+ years of commercial experience as a Data Engineer
- Strong SQL, Python
- Experience with data modelling
- Understanding of data warehousing, data lakes and data lakehouse architectures
Hands-on experience with GCP data engineering tools
Very good knowledge of BigQuery
- Experience with DBT, Airflow and Trino
- Understanding of CI/CD principles and practices
- Experience designing and building scalable data pipelines
Nice to have
Experience with Spark/PySpark
- Experience with BI tools such as Power BI, Qlik or Apache Superset
- Experience with Snowflake
- Experience with Databricks
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