Senior Data Engineer - Banking at NORRIQ

Brussels, Brussels-Capital, Belgium -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

0.0

Posted On

06 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, SAS, Alteryx, ETL Tools, Excel, Python, R, Data Modeling, Data Warehouses, Data Visualization, Data Quality, Data Governance, Analytical Skills, Problem-Solving, Communication Skills

Industry

IT Services and IT Consulting

Description

Senior Data Engineer – Banking & Financial Services Who We Are NORRIQ is a leading international consulting firm headquartered in Denmark and Belgium, with 350+ consultants driving business transformation through technology. Our Financial Services practice includes over 100 specialists supporting banks, insurers and financial institutions in navigating regulatory challenges, optimizing business processes and leveraging emerging technologies. We prioritize innovation, growth and excellence, offering abundant opportunities for professional development and impactful collaboration. The Opportunity We are seeking a Senior Data Engineer to join our growing Data & Analytics team, focusing on delivering business-driven digital solutions, dashboards and reporting for financial services clients. You will work with multiple data sources, integrating, cleaning and modeling data to provide actionable insights and streamline reporting processes. Your work will directly impact decision-making and help drive the digital transformation of our clients’ operations. 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. Your Profile 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. What We Offer 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. Why Join Us? At NORRIQ, we are shaping the future of finance through innovation and transformation. If you are passionate about data engineering, delivering high-quality solutions and driving actionable insights, this role offers the perfect platform to make a meaningful impact.

Responsibilities

The Senior Data Engineer will collect, clean, link, and validate data from multiple sources while analyzing large datasets to identify trends and opportunities. They will collaborate with stakeholders to design and develop data solutions that enhance reporting processes and support decision-making.