End-to-End Data Architect/Engineer - Core Regulatory Data

recurv; Brussel; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Multilingual environment

Core program involvement

Résumé du poste

recurv in Brussels seeks an experienced data engineer/architect to own end-to-end data engineering and architecture for a strategic regulatory program. You will translate business needs into robust data architecture and turn it into practical data solutions that can be developed, optimised and scaled.

This hands-on role combines data modelling, ETL and process optimisation with strong collaboration across business users, program stakeholders and other data teams.

Qualifications

• 8+ years in data engineering
• Proven experience designing data architecture
• Strong hands-on data modelling, ETL and process optimisation
• Proactive, solution-oriented mindset translating business questions into technical answers
• French and English required; Dutch a plus

Responsabilités

• Translate business requests into data architecture and technical solutions
• Design, develop and model data flows, including ETL and automated processing
• Optimise existing processes and improve performance of data runs
• Support AML-related data work, including scenario and reporting needs
• Contribute to SAS migration agenda and possible SAS-to-Python conversion
• Work through a ticket-based intake process and collaborate directly with end users
• Partner with analytics, visualisation, predictive and programme stakeholders in a flat, cross-functional team

Connaissances

Data engineering

Data architecture

ETL

Data modelling

Process optimisation

Stakeholder collaboration

French and English

Outils

Python

SAS

Description du poste

recurv in Brussels seeks an experienced data engineer/architect to own end-to-end data engineering and architecture for a strategic regulatory program. You will translate business needs into robust data architecture and turn it into practical data solutions that can be developed, optimised and scaled.

This hands-on role combines data modelling, ETL and process optimisation with strong collaboration across business users, program stakeholders and other data teams.