Quantexa data engineer

Strategic Staffing Solutions International client - a leading international financial services organisation, is undertaking a large-scale data and financial crime transformation programme and is looking for experienced Quantexa Data Engineers to join a high-impact team. This is an opportunity to work on complex enterprise-level initiatives, helping to design and deliver data-driven solutions that support critical business and regulatory objectives.

• Design, develop, and implement scalable Quantexa solutions aligned with business and technical requirements.
• Configure and enhance Quantexa entity resolution, network generation, and contextual analytics capabilities.
• Develop and maintain high-performance data pipelines to support Quantexa platforms.
• Build, optimise, and maintain complex ETL/ELT processes.
• Integrate data from multiple internal and external sources, ensuring data quality and consistency.
• Design scalable data models and processing frameworks capable of handling large volumes of data.
• Provide technical guidance and best practice recommendations across the development lifecycle.
• Produce clear and comprehensive technical documentation.
• Support development teams through mentoring and knowledge sharing.
• Lead investigations into complex technical and data-related issues.
• Identify root causes and implement sustainable solutions to improve platform stability and performance.
• Drive continuous improvements in system architecture and engineering processes.
• Partner with business, architecture, data, and technology teams to deliver solutions that meet organisational objectives.
• Participate in technical discussions, solution design workshops, and architecture reviews.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.

• Proven hands-on experience as a Quantexa Data Engineer.
• Strong experience delivering Quantexa implementations within large enterprise environments.
• Scala
• Spark
• Hadoop ecosystem
• SQL
• Data modelling
• ETL/ELT development
• Experience working with large-scale distributed data platforms.
• Strong understanding of data quality, governance, and optimisation techniques.
• Ability to troubleshoot and resolve complex technical issues.
• Experience working in Agile delivery environments.
• Excellent communication and stakeholder management skills.
• Будет плюсом: Quantexa certifications strongly preferred; Experience within banking, financial services, AML, KYC, fraud detection, or financial crime programmes; Experience with cloud platforms such as AWS, Azure, or GCP; Knowledge of CI/CD practices and DevOps methodologies

• Work on strategic, enterprise-scale data transformation initiatives.
• Collaborate with highly skilled data and engineering professionals.
• Opportunity to influence technical direction and best practices.
• Flexible, collaborative, and innovation-focused environment.
• Long-term project with meaningful business impact.