International environment (Offices in France, Belgium, Luxembourg, Switzerland & Canada)
+450 employees
Over 20% growth each year Context As a Senior Data Engineer / Technical Lead, you will join a strategic Data & Analytics team responsible for building and maintaining enterprise-wide data solutions within the Azure ecosystem. You will act as the technical reference for Data Engineers, ensuring architectural alignment, technical quality, and adherence to engineering standards. In addition to your leadership responsibilities, you will actively contribute to the development and maintenance of data pipelines supporting critical business initiatives. Working closely with Data Platform Architects, you will play a key role in shaping the evolution of the data platform while promoting best practices across the organization. Your Responsibilities
Design, develop and optimize data pipelines within the Azure ecosystem
Act as the technical authority and reference point for Data Engineers
Validate pull requests, conduct peer reviews and ensure compliance with engineering standards
Coach and mentor junior and mid-level Data Engineers
Translate architectural guidelines into actionable technical implementations
Collaborate closely with Data Platform Architects to ensure alignment between architecture and delivery
Contribute to the design, evolution and continuous improvement of the enterprise data platform
Recommend technical solutions adapted to different Data Warehouse layers (ingestion, transformation, consumption)
Develop and maintain scalable, reliable and high-performance data solutions
Support dimensional data modelling and collaborate with data modelers on robust data structures
Ensure data quality, operational reliability and performance optimization
Provide structured feedback to improve tooling, methodologies and engineering practices
Contribute to the maturity and continuous improvement of Data Engineering practices across the organization Profile
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems or equivalent experience
Proven experience as Senior Data Engineer, Technical Lead or Data Platform Engineer
Strong leadership and coaching capabilities
Ability to guide technical decisions and support multiple teams
Strong communication skills with both technical and non-technical stakeholders
Autonomous, proactive and solution-oriented mindset
Analytical, structured and detail-oriented approach Technical Skills Mandatory
Azure Synapse Analytics
Azure Data Factory (ADF)
Mapping Data Flow (MDF)
Databricks
PySpark
SQL
Data Pipeline Design & Optimization
Data Warehouse Concepts
Dimensional Modelling (Star Schema)
Azure Data Ecosystem
Code Review & Technical Governance Nice to Have
Power BI
Semantic Data Modelling
Experience with enterprise-scale data platforms Languages
English: Fluent
French: Fluent
Dutch: Good knowledge Soft Skills
Natural leadership and coaching mindset
Strong communication and influencing skills
Ability to explain complex technical concepts clearly
High level of autonomy and ownership
Strong analytical and problem-solving skills
Structured and quality-oriented approach
Continuous improvement mindset
Ability to work effectively in multidisciplinary teams If you are passionate about Data Engineering, Azure technologies and technical leadership, and you want to contribute to the evolution of large-scale data platforms, this opportunity is for you #DataEngineer #TechnicalLead #Azure #AzureSynapse #ADF #Databricks #PySpark #SQL #DataWarehouse #DataEngineering #PowerBI #Insurance #Consulting #Nexeo #Belgium 🚀
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