NEXEO is looking for – Senior Data Engineer (AWS / SQL / Python) NEXEO is currently looking for a Senior Data Engineer for a mission based in Brussels, with a hybrid working setup.
You will join the IT Front Data Team of a leading insurance company, contributing to strategic initiatives such as Transparency, Arizona, Verdi , as well as ongoing BAU data operations .
As a Data Engineer, you will be responsible for building and maintaining the data foundations that support analytics, reporting, and business decision-making.
You will work on large-scale data environments , designing robust pipelines and ensuring optimal performance, scalability, and data reliability.
Data Engineering & Pipelines
Design, build, and maintain batch and streaming data pipelines (ingestion → transformation → serving)
Ensure data availability, integrity, and performance
Data Modelling & Storage
Design and implement data models (dimensional, Data Vault, etc.)
Manage and optimize data lakes and data warehouses (AWS S3, Redshift, etc.)
Support data structuring for analytics and reporting use cases
Perform incident management, troubleshooting, and root-cause analysis
Support new data onboarding and integration
Collaborate with Project Managers, Business Analysts, and data stakeholders
Translate business needs into data solutions and data products
Strong experience with Python
Strong knowledge of data engineering concepts (ETL/ELT, pipelines, ingestion, transformation)
Experience with large-scale data environments and performance optimization
Minimum 10 years of experience in Data Engineering / BI Engineering
Proven experience in building and maintaining scalable data architectures
Strong ability to work in complex, data-driven environments
Experience in financial services / insurance is a plus
Team player with a collaborative approach
Full-time mission
Senior-level position (10+ years experience)
Start: ASAP
This role is ideal for a Senior Data Engineer looking to work on high-impact data platforms and large-scale transformation programs in a complex and data-driven environment .
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