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Database Developer (m/f/d) – AI-Assisted Data Migration
dacon is a data management specialist for the financial industry. We accompany companies in their digital transformations and offer specialized IT solutions for the topics of data migration, test data management, (standardized) data exchange and data management of data warehouses or business intelligence solutions. We have been working for well-known insurance companies for over 15 years, so ...
Data Platform Engineer (m/f/d) | Jobs at Gini GmbH
You work at the intersection of infrastructure solutions, distributed data systems, and developer experience. You take ownership of our data platform, continuously improve it, and collaborate closely with developers to make working with data seamless, safe, and efficient.
Data Engineer (m/f/d) – Berlin | Jobs at Bees & Bears GmbH
At Bees & Bears, data is the backbone of everything we do. As our first dedicated Data Engineer, you'll build the foundation that allows us to scale - cleanly, reliably, and without adding operational chaos.
Data Engineer (m/f/d)| Legal AI Tech Scale-Up | Full Remote
As a Data Engineer (f/d/m), you will play a key role in our Data Expansion Squad, which is responsible for integrating and operationalizing legal data from multiple jurisdictions.
Senior Data Engineer - Flexibility (all genders) | Jobs at ...
Programming & Data Wrangling: You have solid experience writing clean, maintainable code for complex data manipulation and transformation tasks. While our forecasting ecosystem relies on Python, Polars, and Pandas, at gridX, our main programming language is Go.
Data Analytics Engineer (m/f/d) | Jobs at adsquare GmbH
This is not a Data Analyst role.While you will understand the business context, your primary focus is technical: building scalable workflows, writing clean and testable Python/SQL code, automating deployments, and supporting cloud infrastructure optimizations.
DATA ANALYST (f/m/d) | Jobs at 360 Treasury Systems AG
Our global team, consisting of data strategists, analysts & quants, collaborate with data engineers to harness technology, innovation, and modern data practices.
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