2,064,162open jobs
125,020companies
239,276added this week
Browse all
Salary
$44k – $68k per year (gross)
Location
Hybrid (Poznań, Poland)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Oct 1, 2026. GFT Technologies scores A on the Alion truth index.

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: Employment contract

Salary range: 14600 - 22300 PLN gross

What will you do?

Join a team focused on building and evolving modern cloud-based data platforms and analytical solutions. You will design and develop scalable data pipelines, data models, and transformation processes, enabling efficient data consumption across business and technology teams while supporting data-driven decision-making.

Your tasks

  • Design, build, test and deploy cloud and on-premise data models and transformations
  • Develop and maintain ETL processes and data pipelines
  • Optimize data views and storage structures for analytics and visualization use cases
  • Review, refine and implement business and technical requirements
  • Collaborate on backlog management, user story refinement and sprint planning activities
  • Onboard new data sources and develop data ingestion frameworks
  • Design, build, test and deploy cloud data warehouses and data products
  • Ensure data quality, performance, reliability and scalability across solutions

Your skills

  • 5+ years of commercial experience as a Data Engineer
  • Strong SQL, Python
  • Experience with data modelling
  • Knowledge of data warehousing, data lakes and data lakehouse concepts
  • Hands-on experience with GCP data engineering tools

  • Very good knowledge of BigQuery

  • Experience with DBT, Airflow and Trino
  • Understanding of CI/CD practices and automation
  • Experience designing and implementing 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

We offer

  • Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warsaw, Wroclaw (2 office days per week)
  • Working in a highly experienced and dedicated team
  • Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)
  • Online training and certifications
  • Access to e-learning platform
  • Work From Anywhere (up to 140 days/year abroad)
  • Social events
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,064,162 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Data Science
Similar stack
Same company
Poznań
$72k – $86k per year (net) · Remote (Poland) · 4+ years exp · Poland
Python
SQL
Python
pySpark
Databases
PostgreSQL
LookML
Amazon Redshift
Amazon Aurora
AI/ML
Spark
Claude Code
dbt
AWS Bedrock
LLM
OpenAI
Anthropic
Amazon SageMaker
Machine Learning
Mobile
AppsFlyer SDK
DevOps
Terraform
CloudFormation
CI/CD
AWS
AWS Lambda
Amazon S3
IAM
AWS Step Functions
Analytics
Looker
Dimensional Modeling
Apply
Remote (Poland) · Full-Time · Bachelor's Degree · Poland
Databases
Snowflake
Analytics
Power BI
QlikSense
Dimensional Modeling
Apply
$40k – $72k per year · Hybrid · Contractor · Warsaw
Python
SQL
Python
Django
pySpark
Databases
Redis
ClickHouse
Apache Iceberg
Delta Lake
Apache Kafka
StarRocks
AI/ML
Copilot
Cursor
Polars
Spark
Airflow
Claude Code
Kubeflow
Ray
Feast
OpenAI Codex
Feature Store
Machine Learning
DevOps
GCP
Azure
CI/CD
Git
Docker
Kubernetes
Argo Workflows
Apply
$78k – $92k per year · In office · Contractor · Poland
Python
SQL
Python
pySpark
Databases
PostgreSQL
Amazon Redshift
Amazon Aurora
AI/ML
Spark
dbt
LLM
Amazon SageMaker
Machine Learning
Mobile
AppsFlyer SDK
DevOps
Terraform
CloudFormation
CI/CD
AWS
AWS Lambda
Amazon S3
IAM
AWS Step Functions
Analytics
ETL/ELT
AWS Glue
Apply
Remote (Poland) · Contractor · 7+ years exp · Kraków
Python
SQL
Python
pySpark
Databases
Databricks
Delta Lake
Azure SQL Database
AI/ML
Spark
AI Agents
OpenAI
DevOps
Terraform
Azure DevOps
Azure
CI/CD
Git
Bicep
GitHub
Analytics
ETL/ELT
Azure Data Factory
Management
Agile
Kanban
Apply
Junior Data Analyst 23 days ago
≈ $18k – $43k per year (Estimated) · In office · Bucharest
Python
SQL
Analytics
Power BI
Apply
$100k – $120k per year · In office · Bachelor's Degree · San Francisco
Python
SQL
PowerShell
Apply
≈ $40k – $84k per year (Estimated) · In office · 2+ years exp · Master's Degree · Zaandam
Python
Databases
Databricks
AI/ML
Spark
Machine Learning
DevOps
Azure
CI/CD
Management
Scrum
Apply
$63k per year · In office · 5+ years exp
Python
Go
C#
AI/ML
AI Agents
Copilot Studio
DevOps
Azure
CI/CD
Apply
≈ $38k – $89k per year (Estimated) · In office · Vienna
JavaScript
Java
TypeScript
SQL
AI/ML
Copilot
Claude
ChatGPT
Model Context Protocol
AI Agents
RAG
LLM Guardrails
Frontend
Angular
DevOps
Rest API
CI/CD
Jenkins
Cybersecurity
OWASP Top 10
Analytics
Power BI
Management
Jira
QA
JMeter
Playwright
Postman
k6
Apply
$64k – $82k per year (net) · In office · Kraków
Python
Java
SQL
Scala
Python
pySpark
Databases
ElasticSearch
AI/ML
Hadoop
Spark
Airflow
DevOps
Ansible
Jenkins
Git
GitHub
Linux
Unix
Analytics
ETL/ELT
Management
Agile
Scrum
Kanban
Apply
Lead Data Engineer 28 days ago
$53k – $81k per year (gross) · Hybrid · 10+ years exp · Kraków
Python
Java
SQL
Scala
Python
pySpark
Databases
ElasticSearch
AI/ML
Hadoop
Spark
Airflow
DevOps
Rest API
Ansible
GCP
Jenkins
Git
GitHub
Linux
Unix
Analytics
ETL/ELT
Management
Jira
Agile
Scrum
Kanban
Apply
Lead Data Consultant 28 days ago
$78k – $106k per year · Hybrid · 10+ years exp · Kraków
Python
Java
SQL
Scala
Python
pySpark
Databases
ElasticSearch
AI/ML
Hadoop
Spark
Airflow
DevOps
Rest API
Ansible
GCP
Jenkins
Git
GitHub
Linux
Unix
Analytics
ETL/ELT
Management
Jira
Agile
Scrum
Kanban
Apply
$75k – $114k per year (gross) · Remote (Poland) · Poznań
Java
Databases
Google BigQuery
AI/ML
Vertex AI
Machine Learning
DevOps
Terraform
GCP
CI/CD
Kubernetes
Google GKE
IAM
Apply
$104k – $140k per year · In office · Poznań
Java
Databases
Google BigQuery
AI/ML
Vertex AI
Machine Learning
DevOps
Terraform
GCP
CI/CD
Kubernetes
Google GKE
IAM
Apply
Fabric Data Engineer 11 hours ago
Remote (Poland) · Part-Time · Warsaw · Wrocław · Poznań · Kraków · Gdańsk
Databases
Microsoft Fabric
Apply
Snowflake Engineer 1 day ago
Hybrid · Contractor · Warsaw · Kraków · Poznań · Gdańsk · Wrocław
Databases
Snowflake
Analytics
ETL/ELT
Apply
$70k – $82k per year · Remote (Poland) · Contractor · Warsaw · Gdańsk · Wrocław · Poznań · Kraków
Python
SQL
Databases
Databricks
ClickHouse
Google BigQuery
AI/ML
Spark
Dagster
Langfuse
LLM
LLMOps
DevOps
Terraform
GCP
GitLab CI
CI/CD
Docker
Platform Engineering
FinOps
SLI/SLO/SLA
GitLab
IAM
Cybersecurity
Least Privilege
Analytics
Power BI
Apply
In office · Full-Time · Poznań
Analytics
Microsoft Excel
Apply
Remote (Poland) · Contractor · Warsaw · Wrocław · Poznań · Kraków · Gdańsk
Python
JavaScript
SQL
Node JS
Frontend
React.js
DevOps
Rest API
Azure DevOps
Azure
CI/CD
Git
Analytics
Azure Data Factory
Marketing
Salesforce
LinkedIn Ads
HubSpot
Apply
See all jobs
This is one of many
2,064,162 more open roles from verified company boards, updated every day.