Top Tech Jobs & Startup Jobs in Belfast

Lead the technical direction of data engineering across client engagements. Design migration frameworks, streaming architectures, Lakehouse platforms, data integrity systems, and regulatory reporting pipelines. Provide architectural authority, review technical designs, select cloud services, mentor senior engineers, develop reusable delivery patterns, support hiring, and represent the consultancy externally. Shape proposals, scope technical engagements, present to senior stakeholders, and identify opportunities with existing clients.

Lead cloud engineering delivery for client and internal projects, providing technical direction, hands-on infrastructure development, platform engineering, AI enablement, data engineering, security, governance, and FinOps. Build infrastructure as code, CI/CD pipelines, containerized applications, Kubernetes platforms, AI agents, data orchestration systems, observability, and cost controls. Advise clients, contribute to pre-sales, establish engineering standards, mentor cloud engineers, support recruitment, and grow the cloud capability.

Own production data and feature pipelines supporting machine learning systems, including training data preparation, feature engineering, model deployment, versioning, retraining, monitoring, and CI/CD. Build batch and ELT pipelines using Python, PySpark, and cloud data platforms. Troubleshoot live systems, make architecture decisions, partner with clients and data scientists, and mentor engineers while delivering solutions with substantial autonomy.

Lead hands-on backend engineering using Java, Spring Boot, REST APIs, and Kafka-based services. Own technical direction, delivery, architecture, testing, integrations, and DevOps practices while mentoring engineers and championing AI-assisted development. Manage workstream risks, timelines, bottlenecks, client communication, estimation, and delivery planning in a fast-paced consultancy environment.

Designs, builds, and maintains production data pipelines using Microsoft Fabric, Python, and PySpark. Owns architecture, data modeling, CI/CD, reliability, troubleshooting, and technical decision-making. Collaborates with architects, product teams, and clients to translate requirements into robust solutions while mentoring junior engineers and improving engineering practices.

Lead the technical direction of client data engagements, designing Microsoft Fabric and Azure data platforms, pipelines, models, testing, CI/CD, and operational practices. Manage and technically guide data engineers while remaining hands-on with complex challenges, incident response, and troubleshooting. Translate client requirements into technical roadmaps, collaborate with stakeholders, and ensure high-quality, commercially sound delivery using Python, PySpark, SQL, and modern data architecture patterns.

Own CreateFuture’s strategic OpenAI partnership, building relationships across OpenAI’s partner, sales, GTM, and industry teams. Develop and execute the partnership strategy, generate co-selling and partner-influenced opportunities, connect OpenAI with clients and capabilities, mobilize internal teams, strengthen credentials, manage partner-program operations, and track pipeline and commercial outcomes.

Leads complex client software engagements through hands-on development, architecture, solution design, delivery management, and technical decision-making. Manages and mentors engineers, establishes engineering standards, troubleshoots complex issues, and oversees scope, estimation, planning, risks, dependencies, and outcomes. Builds trusted client relationships, translates business needs into technical plans, manages expectations, and identifies follow-on opportunities. The role also contributes to recruitment, pre-sales, consultancy practices, and technology thought leadership.

Build scalable backend systems with Go and responsive frontends with React and TypeScript. Lead architecture and technical design, develop secure APIs, drive testing and engineering excellence, mentor engineers, and deliver client projects. The role also involves evaluating emerging technologies, implementing AI-enabled engineering practices, automating workflows, and collaborating with technical and non-technical stakeholders across discovery and delivery.

Lead architecture for a multi-region internationalisation programme across shared services and a flagship consumer app. Define regional isolation, data residency, cross-region data and Kafka replication, and repeatable region deployments using Kubernetes and Terraform. Review existing regional architecture, identify launch risks, guide multiple teams, manage stakeholders, and remain hands-on with Go, React, Cassandra, PostgreSQL, and Kafka systems.