Data engineer

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.

Mission Overview

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.

Key Responsibilities

Data Engineering & Pipelines

• Design, build, and maintain batch and streaming data pipelines (ingestion → transformation → serving)
• Develop and optimize ETL / ELT processes
• Write and optimize complex SQL queries on large datasets
• 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

Operations & Maintenance

• Maintain existing pipelines and jobs, fix failures and manage releases
• Perform incident management, troubleshooting, and root-cause analysis
• Support new data onboarding and integration

Orchestration & Collaboration

• Automate workflows and ensure efficient job orchestration
• Collaborate with Project Managers, Business Analysts, and data stakeholders
• Translate business needs into data solutions and data products

Technical Skills

• Advanced expertise in SQL (mandatory)
• Strong experience with Python
• Proven experience with AWS ecosystem (Glue, S3, Redshift)
• Strong knowledge of data engineering concepts (ETL/ELT, pipelines, ingestion, transformation)
• Experience with large-scale data environments and performance optimization

Profile Required

• 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

Soft Skills

• Proactive and solution-oriented mindset
• Ability to work autonomously and prioritize effectively
• Strong communication and stakeholder management skills
• Team player with a collaborative approach
• Analytical mindset with strong problem-solving capabilities

Practical Information

• Location: Brussels (Hybrid)
• 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.