Design conceptual, logical, and physical data models; develop and maintain enterprise ontologies, semantic models, and knowledge graphs; define business entities, relationships, and data standards; translate business requirements into scalable data models; support data governance, metadata, lineage, and data quality.
Responsibilities
Design conceptual, logical, and physical data models
Develop and maintain enterprise ontologies, semantic models, and knowledge graphs
Define business entities, relationships, and data standards
Translate business requirements into scalable data models
Support data governance, metadata, lineage, and data quality
Tech Hub enables our company’s businesses to achieve their technology-driven goals. The work undertaken in Tech Hub covers a range of areas from leading and supporting the company through to the build or adoption of new technology, to protecting against risk, and delivering valuable data insights that transform our technology capabilities.
Responsibilities
Lead and execute advanced data analysis projects.
Lead and develop data models and dashboards.
Ensure data quality and integrity across all data sources.
Collaborate with business units and other platforms within the IT department to align data initiatives with business goals.
Pour un client bancaire, intervenir en tant que Tech Lead technique sur un périmètre applicatif bancaire mêlant plateforme AWS, architecture événementielle et legacy (Oracle, DataStage). L'objectif est d'encadrer l'équipe de développement et porter les bonnes pratiques de développement, de sécurité et de livraison.
Responsibilities
Encadrer l'équipe de développement
Porter les bonnes pratiques de développement, de sécurité et de livraison
Define and own the enterprise data architecture vision, roadmap, and standards, aligned to long-term business goals. Lead Enterprise Data Model strategy and Operational Data Store design. Establish data governance processes, modeling standards, and data quality procedures.
Compensation
The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD).
Responsibilities
Define and own the enterprise data architecture vision, roadmap, and standards
Lead Enterprise Data Model strategy and Operational Data Store design
Establish data governance processes, modeling standards, and data quality procedures
Serve as the in-house data authority — enforce integration standards, documentation, and best practices
Lead the phased migration from legacy Sybase to a modern AWS microservices architecture, such as PostgreSQL Aurora, DMS, or Lambda
Requirements
HS diploma or GED
Bachelor’s degree in Computer Science or a related field preferred
Master’s degree in Computer Science or a related field
Experienced Technical Architect / Solution Architect to provide architecture development, consultancy and assurance across IT projects, ensuring applications and technology solutions are fit for purpose, secure, scalable, and aligned with enterprise IT standards.
Locations (2)
The Hague, South Holland, Netherlands
Rotterdam, South Holland, Netherlands
Responsibilities
Develop, review and assure solution architectures to ensure alignment with IT standards, reference architectures and technology roadmaps.
Translate business requirements into practical technical designs, addressing application, infrastructure, data, integration and information security considerations.
Provide technical recommendations and resolve common architectural challenges, balancing business value, technical feasibility, risk and cost.
Review detailed designs and ensure solutions remain aligned with agreed architecture principles throughout implementation.
Apply target operating environment standards, technical standards and reference architectures, requesting exceptions where necessary.
A Senior Data Analyst role focused on designing, delivering, and maintaining high-quality data solutions across the KYC lifecycle, bridging the gap between technical data providers and business/compliance consumers.
Responsibilities
Coordinate input from IT, Data Services, Compliance (CPL), KYC Operations, and Front Office, ensuring alignment on KYC data needs.
Translate KYC business requirements for onboarding, reviews, customer due diligence, and risk assessment into actionable data solutions.
Establish and enforce data governance frameworks, including role definitions, quality rules, and access protocols.
Monitor, refine, and escalate data quality issues proactively, ensuring long-term integrity of KYC datasets.
Define and document business and technical rules for KYC data integration, including source-to-target mappings, data lineage, and reconciliation controls.
Requirements
Bachelor's degree
Master's degree in a quantitative discipline (such as statistics, mathematics, or engineering)
Lead data platform initiatives across enterprise financial services clients, architect and govern large-scale data solutions, design complex banking data models, mentor a team of engineers, and drive adoption of modern data engineering practices.
Responsibilities
Lead banking data model design
Architect data platforms
Manage technical teams
Govern data quality & security
Own client relationships
Requirements
Nice to have: Hands‑on expertise with both FSLDM/FIBO AND BIAN standards
Nice to have: Experience with both Cloudera/Teradata AND Snowflake/Databricks
Design, implement and document data architecture and enterprise data models for a specialty insurer in the London Market using Azure Databricks.
Compensation
A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
Responsibilities
Design lakehouse architecture on Azure Databricks using Delta Lake and the Medallion pattern
Design and apply dimensional models such as star and snowflake schemas
Create and maintain conceptual, logical and physical data models
Optimize platform performance and cost
Manage model lifecycle and recommend reuse
Requirements
Bachelor’s degree or equivalent experience
Nice to have: Databricks certification
Nice to have: Gold-layer semantic models for Power BI
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