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Design and deploy production data pipelines from ingestion through consumption using AWS cloud technologies. Build ETL pipelines, data warehouses, and data lakes; move and process large volumes of structured and unstructured data; integrate multiple sources; write scripts, extract data through APIs, and develop SQL queries. Collaborate with clients, stakeholders, product, design, and engineering teams using agile practices to deliver scalable digital solutions.

Develops and prototypes generative AI systems, including RAG pipelines, knowledge graphs, vector search, and agentic architectures. Integrates AI models with APIs, data sources, and production systems while applying prompt engineering, evaluation, LLMOps, cloud, DevOps, distributed systems, microservices, and REST API practices. Collaborates with clients and multidisciplinary teams in an agile consulting environment, explores emerging AI technologies, and shares knowledge across the internal AI community.

The Technical Lead will shape the software delivery lifecycle, implement CI/CD strategies, enhance system performance, and mentor engineers while collaborating with various stakeholders to solve complex challenges.

Design and deliver scalable software solutions for clients across multiple sectors. Apply architecture and delivery methodologies across business, data, application, technology, and security domains, with specialization in at least one. Lead engineering teams, collaborate with cross-functional stakeholders, solve complex problems, facilitate architecture discussions, and support agile delivery using cloud technologies and architecture frameworks.

Design, build and deploy production data pipelines and big-data architectures on AWS. Ingest, process and curate large structured and unstructured datasets, integrate multiple sources, write ETL scripts and SQL, and collaborate with cross-functional teams to deliver data warehouse and data lake solutions.

Lead and grow architecture and development teams, shape and communicate multi-domain architectural strategies, drive business development and client relationships, coach team members, and deliver end-to-end solutions for complex, client-facing engagements in defence and related sectors.

Provide security management and risk-led architecture for operational technology and industrial control environments (SCADA, DCS, PLCs/RTUs). Advise on industrial IoT, cybersecurity monitoring, standards compliance (NERC CIP, IEC 62443, NIST, ISO), and sector-specific controls across energy, utilities, transport, water, oil & gas and critical infrastructure.

The Data Engineer will design and deploy production data pipelines, work with AWS technologies, and integrate data from various sources while collaborating with teams and stakeholders.

As a Solution Architect, you will lead engineering teams, shape architectural vision, support project planning, and enhance applications across various sectors using hybrid methodologies and cloud technology.

Design, prototype, and deploy generative AI systems (RAG, agents) and integrate LLMs with data sources and production systems. Build cloud-native solutions, apply LLMOps and model evaluation, and collaborate cross-functionally to deliver scalable AI products.