Data Engineer Associate developing and implementing data solutions within PNC's Asset Management Group. Collaborating on technical solutions using PySpark, Hadoop, and SQL for scalable data systems.
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.
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