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213 Datenmanagement-Engineering jobs

Showing 21–40 of 213 jobs

PG

Germany (Remote)

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient…

2 mo. ago

PG

Germany (Remote)

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient…

2 mo. ago

D

Berlin, Deutschland (On-site)

CSQ427R35 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using…

1 mo. ago

S

Frankfurt, Hessen, Deutschland (Hybrid)

über uns statworx ist ein führendes Beratungs- und Entwicklungsunternehmen für Daten & KI in der DACH-Region.

9 mo. ago

D

Zürich, Kanton Zürich, Schweiz (On-site)

FEQ427R475 As a Field Engineering Manager , you will lead, coach, and scale a high-performing team of technical pre-sales Solutions Architects and…

1 mo. ago

M

München, Bayern, Deutschland (On-site)

Customer Impact Engineer (f/m/d) About Us Manex AI is on a mission to enable autonomy for the world’s leading organizations and is currently building…

9 mo. ago

A

Berlin, Deutschland (On-site)

€200–300K / year

This isn’t your regular job.

3 wk. ago

PG

Germany (Remote)

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient…

1 mo. ago

RP

Köln, Nordrhein-Westfalen, Deutschland (Hybrid)

About your tasks: Lead, hire, coach, and develop multiple engineering teams, fostering an inclusive and psychologically safe culture of ownership,…

1 mo. ago

F

München, Bayern, Deutschland (On-site)

At Flix, we offer a tech-driven environment where innovation meets real-world impact, with competitive pay, strong growth opportunities, and a…

3 mo. ago

NR

Metzingen, Baden-Württemberg, Deutschland (On-site)

Deine Mission & Herausforderungen Als AI Data Annotation Specialist arbeitest du an der Schnittstelle von Datenverarbeitung, Datenpipelines und Machine Learning.

2 mo. ago

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