Jobs at PA Consulting

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.

The Technical Lead will manage and lead engineering teams, drive software delivery improvements, implement CI/CD, and enhance system performance while collaborating with stakeholders across various projects.

Consult on data protection and privacy laws (e.g., GDPR, CCPA), configure and integrate OneTrust, advise clients (especially Life Sciences/Financial Services), manage consent solutions, tailor privacy processes to business models, and communicate with stakeholders across business, legal, IT, and security.

Design and build production data pipelines on AWS from ingestion to consumption. Process large structured and unstructured datasets, integrate multiple sources, write ETL scripts and SQL, and collaborate with cross-functional teams using agile practices.

The Solution Architect will lead engineering teams in delivering software applications, define architectural vision, and collaborate with multiple stakeholders using agile methodologies.

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.

Lead AI strategy and roadmaps for clients: identify high-impact AI use cases, estimate ROI, design implementation plans, manage cross-functional teams, oversee AI integration and due diligence, advise C-suite, and support business development and mentoring.

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.

Design, prototype and deploy generative AI solutions (RAG, agents, LLM pipelines). Integrate models with APIs and data sources, apply LLMOps and evaluation, build cloud-native, microservices-based systems, and collaborate in agile, cross-functional teams to deliver production-ready AI software.

Deliver advanced analytics and modelling across the full lifecycle, translate client needs into analytical solutions, build and test models, develop visualisations and dashboards, work with Databricks/Python/SQL/PowerBI, collaborate in agile cross-functional teams, and communicate findings to technical and non-technical stakeholders.

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.

Consult on data science and advanced analytics projects: translate business needs into analytical approaches, design and build models, run exploratory analysis, deliver end-to-end analytical solutions, collaborate cross-functionally, present findings to technical and non-technical stakeholders, and support handover and implementation.