VP, Senior Data Engineer responsible for designing and developing cloud data solutions for insider risk in Information Security at SMBC. Collaborating with multiple teams to enhance cybersecurity data platform.
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.
Job title
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