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Cegeka Deutschland GmbH

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5 jobs
Cegeka Deutschland GmbH
11 views last month

Data Engineer: Azure & Databricks Data Platforms

Open 34d Europe
Netherlands

Data Engineer at Cegeka Consulting who makes client data available, reliable and usable: building data platforms and pipelines on Azure, Databricks and Microsoft Fabric, and working on ETL/ELT processes and data governance to enable reliable reporting and AI applications.

AI Azure Databricks ELT ETL +1 skills
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Cegeka Deutschland GmbH
11 views last month

Data Engineer

Open 34d Europe
Netherlands

Data Engineer at Cegeka Consulting designs, builds, and optimizes data platforms, ETL/ELT pipelines, and data models on Azure, Databricks, and Microsoft Fabric for clients across sectors, ensuring scalability, governance, and production reliability while advising customers on data solutions.

AI Azure Azure Data Factory CI/CD Data Engineering +13 skills
4K – 7K € / mo
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Cegeka Deutschland GmbH
8 views last month

Data Engineer - Snowflake

Open 40d Europe
Netherlands

Data Engineer who builds and optimizes Snowflake data platforms on Azure for Cegeka's clients: developing ETL pipelines, modeling and building data warehouses, and ensuring reliable, monitored data flows for analytics, BI and AI. Core stack includes Snowflake, Azure, T-SQL, Python and DevOps practices like Git and CI/CD.

AI Analytics Azure CI/CD Data Science +15 skills
5K – 7K € / mo
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Cegeka Deutschland GmbH
6 views last month

DevSecOps Architect / DevSecOps Engineer Microsoft Azure (m/w/d) #11260 (DevOps Engineer)

Open 33d Europe
Germany

Cegeka ist ein europäischer IT-Solutions-Provider und unterstützt Unternehmen mit passgenauen IT-Dienstleistungen, modernen Technologien und maßgeschneiderten Lösungen. Wir arbeiten partnerschaftlich, respektvoll und…

Azure CI/CD Cloud DevOps DevSecOps +5 skills
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Cegeka Deutschland GmbH
12 views 2 months ago

Snowflake Data Engineer – Azure Data Platform & Pipelines

Open 44d Europe
Netherlands

Data Engineer building and maintaining Snowflake data platforms on Azure for clients: integrating data from diverse sources into ETL pipelines and data warehouses, preparing it for analysis, visualization and AI, while advising on technical choices and ensuring monitoring and data quality.

AI Azure ETL Snowflake
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