Data engineer for Quantexa

Our client, a leading international financial services organisation, is undertaking a large-scale Financial Crime and Data Transformation programme and is looking for an experienced Quantexa Data Engineer / Tech Lead to join a high-impact team. This role requires a senior Quantexa practitioner who can combine hands-on engineering expertise with technical leadership, guiding other engineers and acting as a subject matter expert across complex Quantexa implementations.

• Design, develop and implement scalable Quantexa solutions aligned to business and technical requirements.
• Configure, tune and enhance Entity Resolution, Network Generation, Scoring/Scorecards, Alerting, Fusion and ETL capabilities.
• Develop and maintain high-performance Quantexa data pipelines.
• Contribute to the design and implementation of scoring frameworks and scorecards supporting Financial Crime and risk use cases.
• Troubleshoot and optimise Quantexa platform performance, data processing and scoring outcomes.
• Act as a senior Quantexa SME and escalation point for technical challenges.
• Provide technical guidance and mentoring to other Quantexa Data Engineers.
• Review technical designs, engineering approaches and implementation quality.
• Support architecture discussions and provide recommendations on Quantexa best practices.
• Produce and maintain technical documentation and implementation standards.
• Build, optimise and maintain complex ETL/ELT processes.
• Design scalable data models and processing frameworks capable of handling large-scale enterprise datasets.
• Integrate data from internal and external sources while ensuring data quality, consistency and performance.
• Support continuous improvements across data pipelines, Entity Resolution and scoring processes.
• Work closely with technical, architecture, business and Financial Crime teams.
• Participate in solution design workshops and architecture reviews.
• Translate business requirements into scalable Quantexa solutions.
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

• Quantexa Data Engineer Certification (mandatory).
• Extensive hands-on Quantexa Data Engineering experience beyond Quantexa Academy training.
• Proven experience delivering Quantexa implementations within large enterprise environments.
• Strong practical experience with Entity Resolution, Network Generation, Scoring / Scorecards, Alerting, ETL / Fusion, Resolver tuning.
• Strong Scala and Spark experience within Quantexa implementations.
• Strong SQL, Data Modelling and ETL/ELT development experience.
• Experience working with large-scale distributed data platforms.
• Strong understanding of data quality, optimisation and performance tuning.
• Ability to investigate and resolve complex technical and data-related issues.
• Experience working in Agile delivery environments.
• Excellent stakeholder management and communication skills.
• Будет плюсом: Experience acting as a Tech Lead, SME or Technical Mentor within Quantexa programmes; Experience reviewing technical solutions and coaching other Quantexa Data Engineers; Experience implementing Quantexa Scorecards; Experience within AML, Financial Crime, KYC, Fraud Detection, Transaction Monitoring; Experience with AWS, Azure or GCP; Knowledge of CI/CD and DevOps practices

• Long-term contract with significant business impact.
• Flexible and collaborative remote-first environment.
• Long-term project with meaningful business impact.
• Flexible, collaborative, and innovation-focused environment.