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Data engineer - java & spark

La Hulpe
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Publiée le 21 avril
Description de l'offre

Job Description Introduction We are looking for a hands-on Data Engineer to support the evolution of a modern data and analytics platform within a large-scale, international environment. The team is currently working on the migration from a legacy data platform to a modern data architecture, introducing new technologies and structured data layers (Bronze, Silver, Gold) to improve scalability, performance, and analytics capabilities. You will work in a cross-functional agile team together with analysts, engineers, and business stakeholders. This is a collaborative international environment, where you will also work closely with teams located in different regions. Responsibilities Develop and maintain data pipelines and data processing workflows Contribute to the design and implementation of modern data platform architecture Build and optimize data ingestion, transformation, and processing pipelines Support the development of analytics and business insight use cases Work with structured data layers such as Bronze, Silver, and Gold Ensure data quality, reliability, and performance across the platform Collaborate with analysts, engineers, and operational teams Support the migration of legacy data transformations to the new platform Contribute to platform automation, deployment, and operational stability Work closely with distributed teams in an international setup Requirements Experience Minimum 3 years of experience in data engineering or data platform development Strong hands-on mindset and ability to work in complex technical environments Experience working in agile development environments Experience with Java, Apache Spark, Airflow, NiFi Experience with Python/Scala is a plus Language: English Extra Freelance contract: Long term hybrid remote policy Location: Around Brussels

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