Hybrid Senior Data Engineer – Banking

at NORRIQ BENELUX

• Job title: Senior Data Engineer – Banking
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: ETL, Python, SQL, Tableau, VBA
• Location requirements: Hybrid, Brussel, Belgium

About the role

• Senior Data Engineer at NORRIQ delivering business-driven digital solutions in financial services. Focused on data integration and analysis to support decision-making processes.

Responsibilities

• Collect, clean, link and validate data from multiple internal and external sources.
• Analyze large datasets to identify trends, patterns, anomalies and opportunities.
• Collaborate with business stakeholders to understand requirements and translate them into efficient data solutions.
• Design and develop data flows, data models and data stores (data warehouses, marts and datasets).
• Define business and technical rules for data integration, ensuring the use of “golden” sources.
• Prototype and validate solutions with business users, ensuring functional accuracy.
• Enhance and maintain ETL workflows, implementing clean coding principles, removing redundancies and improving maintainability.
• Develop reusable Alteryx macros or similar ETL components to centralize repeated transformation logic.
• Ensure data integrity, compliance and quality standards across datasets and workflows.
• Document datasets, workflows and technical specifications to ensure knowledge sharing and operational consistency.
• Establish monitoring systems to track data quality, workflow performance and timely issue resolution.
• Support release and deployment operations, improving automation, reliability, and speed.
• Work autonomously while maintaining alignment with the team and business objectives.

Requirements

• Master’s degree (or equivalent experience) in Data Science, Computer Science, Statistics, Mathematics, or related fields.
• At least 4–6 years of experience in data engineering, preferably within financial services or banking.
• Strong technical skills: SQL (mandatory), SAS, Alteryx, ETL tools, Excel (including VBA) and familiarity with Python or R.
• Experience with data modeling, data warehouses, marts and visualization tools (Power BI, Tableau) is a plus.
• Solid understanding of data quality, governance and integration best practices.
• Strong analytical and problem-solving skills, able to translate complex technical data into actionable business insights.
• Excellent communication skills; able to negotiate, influence and build relationships with stakeholders.
• Self-starter with a proactive attitude, autonomy, commitment and perseverance.
• Team player comfortable in a dynamic, multicultural environment.
• Languages: Fluent in English and Dutch or French.

Benefits

• Impactful Work: Contribute to high-value projects for leading banks and financial institutions.
• Professional Development: Continuous learning, mentorship and growth opportunities.
• Collaborative Culture: Join an innovative team that values knowledge sharing, creativity and professional growth.
• Flexible Work Environment: Blend of on-site (50%) and remote work (50%) after onboarding.
• Global Exposure: Opportunity to work across borders and contribute to international projects.