ppCLEEVEN is a European consulting company built around two core convictions: /p ul liThe excellence of European engineers should be a driver of global competitiveness /li liOur human mission: supporting our consultants in their personal and professional development /li /ul pAs part of the scale-up of a modern data platform for a fast-growing industrial company, we are looking for a bDatabricks Data Platform Engineer /b to support the industrialization, scalability and reliability of a Databricks-based environment. /p h3Context /h3 pThe company is strengthening its data capabilities to support business, manufacturing, analytics and digital transformation initiatives. /p pThe current objective is to move from a developing data platform to a more industrialized, scalable and production-ready environment. Databricks is at the center of this data ecosystem and is connected to multiple applications and data sources. /p pThe consultant will work closely with data, cloud, integration, application and architecture teams to structure the platform and support upcoming projects. /p h3Objectives /h3 ul liContribute to the industrialization of the Databricks platform /li liDesign, develop and optimize scalable data pipelines /li liImplement robust data engineering patterns using Spark, PySpark and SQL /li liSupport the structuring of a lakehouse architecture based on Databricks /li liImprove performance, reliability, monitoring and maintainability of data workflows /li liContribute to data quality, access management and platform governance topics /li liCollaborate with integration teams working on application connectivity and data ingestion /li liSupport deployment practices, documentation and platform standards /liliHelp transform business and technical requirements into scalable data solutions /li liStrong hands-on experience with Databricks /li liSolid experience in data engineering and cloud-based data platforms /li liGood knowledge of Spark, PySpark and SQL /li liExperience with Delta Lake, lakehouse architecture or modern data platforms /li liUnderstanding of data pipeline industrialization, scalability and performance optimization /li liExperience with cloud environments, ideally Microsoft Azure /li liKnowledge of CI/CD, Git, DevOps practices or Infrastructure as Code would be an asset /li liGood understanding of data governance, data quality and security principles /li liFluent English is required /li /ul h3Profile /h3 pWe are looking for a technical and pragmatic profile, able to develop, structure and scale a Databricks environment in a complex enterprise context. /p pYou are comfortable working on both implementation and platform improvement topics. You understand that the challenge is not only to build data pipelines, but also to make them reliable, maintainable and ready for long-term use. /p pExperience in industrial, manufacturing, pharmaceutical or regulated environments would be a strong advantage, but is not mandatory. /p /p #J-18808-Ljbffr
Ingénieur de données/Ingénieure de données Arbeitgeber: CLEEVEN
CLEEVEN ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern nicht nur ein dynamisches Arbeitsumfeld bietet, sondern auch die persönliche und berufliche Entwicklung aktiv unterstützt. Mit einem starken Fokus auf Teamarbeit und Innovation in einer europäischen Umgebung, ermöglicht CLEEVEN seinen Mitarbeitern, ihre Fähigkeiten in der IFS Report-Entwicklung zu entfalten und sich kontinuierlich weiterzubilden. Die offene Unternehmenskultur fördert den Austausch von Ideen und die Zusammenarbeit mit verschiedenen Geschäftsbereichen, was zu einer erfüllenden und sinnstiftenden Arbeit führt.
