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Trans.eu Group Tech Stack

Transportation marketplace and logistics intelligence platform for European carriers and shippers

IT Services and IT Consulting Wrocław, Dolnośląskie 501–1,000 employees Founded 2004 Public Company

Trans.eu operates a transportation exchange connecting carriers, freight forwarders, and shippers across 12 European countries. The tech stack reveals a data-intensive operation: Node.js + TypeScript for backend services, PostgreSQL + Snowflake for analytics, and a heavy ML/AI layer (TensorFlow, PyTorch, scikit-learn, gradient boosting) focused on fraud detection, credit risk, and segmentation models. Project list confirms this shape — the company is mid-transformation, scaling feature stores and MLOps infrastructure while building an AI risk & compliance tier, signaling a shift from marketplace-as-utility toward embedded financial and operational intelligence for logistics.

Tech Stack 39 technologies

What Trans.eu Group Is Building

Challenges

  • Standardizing mlops practices
  • Ensuring ai platform reliability
  • Optimizing monitoring processes
  • Identifying process limitations
  • Fraud detection
  • Credit risk assessment
  • Data consistency maintenance
  • Modernizing etl/elt stack
  • Managing organizational change
  • Maintaining hr data consistency

Active Projects

  • Ai/ml system architecture design
  • Advanced analytics models for segmentation
  • Interactive tableau dashboards
  • Fraud detection system
  • Credit risk assessment models
  • Ai risk & compliance models
  • Enterprise data warehouse etl/elt solutions
  • Ai data environment for machine learning models
  • Feature stores and llm gateways
  • Feature store implementation

Hiring Activity

Decelerating15 roles · 3 in 30d

Department

Data
5
Engineering
3
Finance
1
HR
1
Sales
1
Support
1

Seniority

Mid
7
Senior
3
Manager
2
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About Trans.eu Group

Trans.eu Group operates a digital freight exchange and logistics platform serving the European road transport industry. The company connects carriers, freight forwarders, logistics centers, and shippers on a unified marketplace, supplemented by tools for business process optimization, cost reduction, and financial intelligence. Founded in 2004, the group employs approximately 1,000 people across 12 countries, with headquarters in Wrocław, Poland. Current hiring activity is concentrated in data roles (5 open positions) and engineering (3 roles), reflecting infrastructure scaling; overall hiring velocity is decelerating.

HeadquartersWrocław, Dolnośląskie
Company Size501–1,000 employees
Founded2004
Hiring MarketsPoland

Frequently Asked Questions

What tech stack does Trans.eu use?

Backend: Node.js, TypeScript, NestJS, Go. Data: PostgreSQL, Redis, RabbitMQ, Snowflake, dbt. Deployment: Docker, Kubernetes, Terraform, AWS. ML/AI: TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM, Keras, CatBoost. Analytics: Tableau, Pandas, NumPy.

What is Trans.eu working on?

AI/ML infrastructure: fraud detection, credit risk assessment, AI risk & compliance models, feature stores, and LLM gateways. Analytics: advanced segmentation models, Tableau dashboards, enterprise data warehouse ETL/ELT solutions for machine learning.

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