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Overview

Technologies

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Tech DNA
Python
SQL
Snowflake
AWS
Azure
GCP
AI/ML
Python
SQL
AWS
Azure
GCP
Databricks
Snowflake
OpenAI
Other
Agile
Stack modernity Cutting-edge
76/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python 1 job Required
Snowflake 1 job Required
GCP 1 job Required
Databricks 1 job Required
Azure 1 job Required
AWS 1 job Required
OpenAI 1 job Required
Agile 1 job Required
Salary medians are calculated from this company's open jobs and compared with the market.
Stack changes
SQL Sep 2026
Snowflake Sep 2026
Python Sep 2026
OpenAI Sep 2026
GCP Sep 2026
Databricks Sep 2026
Azure Sep 2026
AWS Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.

Growth

Hiring Momentum
22/100
Hiring freeze
Open positions
1
0 opened / 0 closed in 30 days
Median time-to-fill
459 days
faster than 13% of the market
ATS activity
Every ~1 days
09/15/2026
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
100%

Offices

Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Cologne
Cologne Germany
HQ
1 open roles 100% engineering 10-50 est. staff
hires for Data Science
seen since May 2025

Jobs

$69k – $169k per year (Estimated) • In office • Full-Time • Cologne
Python
Snowflake
Databricks
AI/ML
OpenAI
DevOps
GCP
Azure
AWS
Management
Agile
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