Top Tech Jobs & Startup Jobs in Dublin

Designs, builds, and maintains scalable Azure data pipelines and platform architecture. Responsibilities include developing Synapse pipelines, creating data models, optimizing databases, deploying through Azure DevOps and Terraform, implementing data quality and monitoring controls, supporting governance and security, troubleshooting environments, and sharing platform knowledge. The role also requires collaboration with analysts, infrastructure teams, technical stakeholders, and users while keeping current with Microsoft Fabric and migration approaches.

Designs, develops, and optimizes high-volume data pipelines in Databricks and Spark environments. The role integrates data from enterprise systems, collaborates with architects and data scientists, incorporates forecasting algorithms, optimizes Spark performance and cluster costs, follows Agile Scrum practices, mentors junior engineers, and maintains technical documentation.

Lead and support solution architecture for strategic procurement and software development projects. Translate business requirements into technology and non-functional requirements, design solutions across cloud, database, backend, integration, and user-experience layers, and present designs for governance approval. Coordinate implementation, develop architecture roadmaps and standards, advise colleagues, and manage business and technology stakeholder relationships. The role requires Azure cloud architecture experience, architectural modeling knowledge, and familiarity with enterprise frameworks.

Designs, develops, and delivers AI-enabled applications for large organisations, covering backend services, LLMs, multi-agent systems, machine learning infrastructure, and modern web interfaces. Responsibilities include integrating AI APIs, applying MLOps for deployment and monitoring, supporting responsible AI and regulatory compliance, documenting implementations, collaborating with multidisciplinary teams, and mentoring colleagues.

Develop and maintain responsive web applications using modern front-end technologies. Collaborate with designers, product teams, developers, QA, and stakeholders to deliver accessible, scalable solutions. Integrate REST APIs and third-party services, contribute to back-end development, build automated tests, participate in code reviews and Agile ceremonies, troubleshoot applications, and maintain technical documentation. The role may involve full-stack development, cloud platforms, databases, CI/CD, microservices, and DevOps practices.

Develop and support scalable backend services, RESTful APIs, databases, and cloud-native applications using Azure technologies. Responsibilities include writing maintainable code, automated testing, CI/CD support, troubleshooting, documentation, code reviews, and collaboration with technical and business stakeholders. The role requires experience with cloud platforms, microservices, containerization, relational and NoSQL databases, Agile development, and secure software practices.

Lead establishment of a best-in-class procurement function: set strategy, policies, and operating model; deliver cost savings and TCO optimisation; own P2P and contract lifecycle; manage supplier relationships, risk, compliance and reporting; build and lead the procurement team and present to executive leadership.

Design, implement, and manage Azure cloud architectures focused on containerized workloads (AKS). Provision and maintain Azure resources, implement IaC (Terraform/Bicep/ARM), build CI/CD pipelines, monitor and troubleshoot Azure and Kubernetes environments, support migrations and governance, and provide technical guidance and documentation to clients and junior consultants.

Develop and maintain scalable Java applications using AWS, relational databases, SQL, Spring, Hibernate, RESTful APIs, and batch processing systems. Responsibilities include database performance optimization, cloud deployment, testing, code reviews, troubleshooting, cross-functional collaboration, and mentoring junior developers.

Lead design and delivery of data architecture and analytics platforms. Translate business needs into technical solutions, design data models, ETL/integration, MDM and data quality processes, optimise data warehouses, collaborate with data science/BI teams, produce HLD/LLD, manage technical delivery and stakeholder relationships within agile projects.