Top Tech Jobs & Startup Jobs in Dublin

Lead strategy, architecture, and delivery of Mastercard's data platform for analytics and agentic AI. Design lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and governance for real-time, secure, production-scale AI consumption. Guide senior engineers and partner with Applied AI, Product, Architecture, and Security.

Lead strategy, architecture, and delivery of a production-scale data platform enabling agentic AI and analytics. Build lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and knowledge graphs. Ensure governance, lineage, data quality, observability, and AI-specific controls. Partner with Applied AI, Product, and Architecture; set standards for data products exposed to agents; remain hands-on to unblock teams and grow senior data engineering talent.

Lead strategy, architecture, and delivery of a production-scale data platform enabling agentic AI and analytics. Architect retrieval pipelines, vector stores, feature and knowledge-graph integrations, lakehouse and streaming (Databricks, Spark, Kafka) on AWS. Ensure governance, lineage, data quality, observability and AI-specific controls. Partner with Applied AI and Product, set standards for data products exposed to agents, and guide a team of senior data engineers while remaining hands-on for architectural decisions.

Lead data engineering strategy and delivery for CNPF, building lakehouse, streaming, retrieval, vector/feature stores and MCP servers to support agentic AI, LLMs, and analytics. Ensure governance, observability, security, and real-time data access while guiding senior engineers and partnering with Applied AI, Product, and Architecture.

Lead strategy, architecture, and delivery of a production-scale data platform enabling agentic AI and analytics. Design lakehouse, streaming, retrieval, vector/feature stores and MCP servers, ensure governance, observability, and secure AI data consumption, and manage senior data engineering teams.

Lead a full-stack engineering team building high-performance analytics applications and front-end visualizations on massive datasets. Define service-oriented architectures, scope and deliver large-scale features, mentor engineers, drive CI/CD and engineering practices, and collaborate with product and global teams to deliver production-ready microservices and data-driven products.

Lead and manage multiple engineering squads building cloud-native Java/Spring Boot payment network services. Oversee deliverables, product and solution architecture for scalable real-time event-driven systems, drive CI/CD, automation, quality and AI adoption, and coordinate cross-regional stakeholders.

Lead a multidisciplinary engineering team to design, build and deliver scalable AI and quantum-enabled payment products. Define requirements, drive project execution using agile and AI-assisted processes, mentor engineers, coordinate with data scientists, and represent the team internally and externally.

Lead and coach scrum teams to deliver high-availability, high-volume commercial payments software. Oversee development, drive technical and agile best practices, communicate status to product, customers and senior management, and ensure compliance and security responsibilities.

Manage and coach scrum teams to design, build, and operate Java-based, distributed B2B payment applications. Own product initiatives from requirements to production, drive agile practices, ensure performance, security and reliability, collaborate with product and operations stakeholders, and communicate status to senior management.