Overview
News
Technologies
Salaries
Products
People
Growth
Jobs
Financials
Overview
KONUX is a Munich company founded in 2014 that combines sensors on railway track with machine learning to predict maintenance needs. Its system monitors switches and track geometry continuously, telling infrastructure managers what to repair before failures cause delays. Deutsche Bahn and other European rail operators use the technology to raise network capacity without new construction.
News
KONUX Reinforces Focus on Customers and Sustainable Operations
Munich, 13 February 2026 - KONUX, a provider of digital solutions for rail infrastructure, today reaffirmed its focus on customer delivery and long-term, sustainable operations in response to current market conditions. Focus on Customers and Core Solution
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Report
Customer Success: Driving Cultural and Operational Change in Rail Through Digital Transformation
Digital transformation in rail is rarely constrained by technology. After years working at the intersection of sales, delivery, and long-term customer relationships, I've seen the same pattern repeat itself: the hardest part is not deploying systems, but
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Report
The Shift in European Rail Procurement: Capability Wins
European operators are buying predictive maintenance capability, not "technology" Watch the tenders long enough and you stop looking for buzzwords. You look for the quiet shifts: what buyers ask for, what they stop asking for, and which requirements have
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Report
Weather-Aware Monitoring: Rethinking Point Machine Alerts
Static Thresholds Assume Stability Traditional Point Machine (PM) monitoring relies on fixed thresholds, such as maximum motor current, movement time, or vibration, to decide whether the machine is behaving normally or requires attention. This method assu
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Report
Unlocking Track Access Windows
Across rail networks, one challenge continues to intensify: finding optimal times to access the track with minimal disruption on the traffic. As traffic volume increases and networks operate closer to capacity limits, the windows available for inspection
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Report
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Technologies
Tech DNA
Python
SQL
AWS
AI/ML
Python
SQL
AWS
CI/CD
Databricks
Spark
pySpark
Git
Polars
Statsmodels
Time Series Forecasting
Stack modernity
75/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python
2 jobs
Required
$133k
-26% vs market
Spark
2 jobs
Required
$133k
-26% vs market
Databricks
2 jobs
Required
$133k
-24% vs market
CI/CD
2 jobs
Required
$133k
-17% vs market
AWS
2 jobs
Required
$133k
-28% vs market
pySpark
2 jobs
Required
$133k
-11% vs market
SQL
1 job
Required
$116k
-18% vs market
Polars
1 job
Required
$116k
-2% vs market
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
20%
AWS
16%
CI/CD
15%
SQL
14%
Git
8%
Spark
5%
Share of companies in the same industry that use each technology.
Stack changes
Time Series Forecasting
Aug 2026
Spark
Aug 2026
Statsmodels
Aug 2026
SQL
Aug 2026
Python
Aug 2026
pySpark
Aug 2026
Polars
Aug 2026
Git
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Capital One
Amazon
Booz Allen Hamilton
Quantiphi
Roche Poland
Accenture
Salary insights
Compensation ranges based on this company's open jobs
Median
$133k
Typical range
$116k – $151k
Open positions
2
2
Jobs
Senior
50%
Staff
50%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 1 | $116k | $116k |
| Staff | 1 | $151k | $151k |
Highest paying role
Engineering Manager (m/f/x)
$151k
Normalized to USD per year
Growth
Hiring Momentum
58/100
Growing
Open positions
2
0 opened / 0 closed in 30 days
ATS activity
Every ~3 days
08/30/2026
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Data Science
50% ▼
Management
50% ▼
Activity Timeline
Added Time Series Forecasting to stack
Aug 2026
Added Spark to stack
Aug 2026
Added Statsmodels to stack
Aug 2026
Added SQL to stack
Aug 2026
Added Python to stack
Aug 2026
Added pySpark to stack
Aug 2026
Added Polars to stack
Aug 2026
Added Git to stack
Aug 2026
Added Databricks to stack
Aug 2026
Added CI/CD to stack
Aug 2026
Added AWS to stack
Aug 2026
Jobs
$99k – $116k per year • Remote/Hybrid • Full-Time • 5+ years exp • Bachelor's Degree • Munich
Python
SQL
pySpark
Databases
Databricks
AI/ML
Polars
Statsmodels
Spark
Time Series Forecasting
DevOps
AWS
CI/CD
Git
Apply
$116k – $151k per year • Remote/Hybrid • Full-Time • 8+ years exp • Munich
Python
pySpark
Databases
Databricks
AI/ML
Spark
DevOps
AWS
CI/CD
Apply