jobTakt: German Job Market Intelligence

A data engineering project processing 18K+ jobs daily.

Data Insight

Data flows from multiple sources, is processed and stored, then served to the frontend.

Data Sources

Smart Scripts

Validation

Database

API

Web UI

This project demonstrates a wide range of data engineering principles and practices.

Centralized Database

All job data is stored in a single, unified PostgreSQL database, acting as the single source of truth.

Automated Refresh

The data pipeline runs automatically multiple times a day, ensuring the job board is always up-to-date.

Data Unification

Jobs from various sources are transformed and loaded into a standardized format for consistency.

Dynamic Filtering

The frontend allows users to filter jobs by location, keywords, and other criteria in real-time.

Scalable Design

The architecture is built to handle a growing number of data sources and increasing data volume with ease.

Pipeline Monitoring

The system logs recent activities and key metrics, providing a clear view of the pipeline's health and performance.

A live look at the most recent data harvesting and processing events.