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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
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
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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Credence
Plaid
Caterpillar
Appier
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