Capgemini

AI Engineer

• Integrate AI platforms with internal systems to support diverse business use cases
• Create AI prototypes and demos to drive adoption and showcase capabilities
• Provide technical leadership, mentor teams, and support cross-functional AI initiatives
• Translate business problems into AI use cases and technical solutions
• Work in Agile delivery teams and iterative development cycles
• Follow work processes and organize time to deliver assigned tasks
• Collaborate with others to achieve team goals and positively impact project performance
• Seek feedback and develop professionally with support

AI Engineer, Junior

• Design, model, and document end-to-end business processes using SAP Signavio Process Manager
• Create and maintain process hierarchies, process landscapes, and reference architectures aligned with organizational standards
• Mine, analyze, and visualize process execution data from source systems including SAP ECC/S4HANA, Salesforce, and ServiceNow
• Configure and manage the Signavio Collaboration Hub for stakeholder review, feedback, and sign-off cycles
• Design and configure workflows using Signavio Workflow Accelerator or similar automation modules
• Collaborate with RPA and automation teams to identify automation candidates based on mined process data

SAP Signavio Expert

Full-stack Engineer

• Deliver complex software development projects and grow your technical expertise in a Java environment
• Anticipate needs and propose technical solutions to move projects forward
• Conduct code reviews and ensure that development work is delivered to a high standard
• Design and migrate projects to microservices architectures
• Manage a team of developers and support the mentoring and professional development of its members

Software Engineer – Full-Stack

Data Engineer

• Design, develop, and maintain scalable, high-performance data pipelines
• Build ETL/ELT processes using Python, PySpark, SQL, Azure Databricks, and Azure Data Factory
• Implement integration mechanisms for structured and unstructured data from multiple sources
• Develop storage and processing solutions based on Data Lake and Lakehouse architecture
• Ensure data quality, consistency, security, and availability
• Optimize distributed processing workflows for large volumes of data
• Implement data governance, monitoring, and observability standards
• Design and implement solutions using Azure Databricks, Azure Data Factory, Azure Functions, Azure Storage Accounts, Azure Key Vault, and Azure Logic Apps
• Automate deployments via CI/CD pipelines using Azure DevOps
• Monitor and resolve incidents related to data processes in production environments
• Apply security and access management best practices in cloud environments
• Implement secure authentication, authorization, and secret management mechanisms
• Collaborate with Data Science teams to prepare, transform, and make data available for analytical models
• Participate in Machine Learning, Artificial Intelligence, and NLP initiatives
• Implement and support data pipelines for forecasting and predictive analytics models

Azure Data Engineer

Business Analyst

• Support clients in evolving their information systems and digitally transforming their business processes
• Support business teams across operations, maintenance, engineering, asset management, procurement, supply chain, and finance
• Analyze and formalize functional requirements
• Manage incidents, enhancement requests, and production releases
• Ensure the proper functioning of critical applications, the quality of master data, and the consistency of technical data
• Contribute to improving asset management and preventive and corrective maintenance processes
• Contribute to the digitalization of field operations
• Conduct validation testing
• Monitor interfaces and data exchanges between systems
• Coordinate business teams, technical teams, and external partners
• Track performance indicators and governance forums
• Identify opportunities for improvement to enhance operational performance, infrastructure reliability, and data value

Business Analyst – Energy Sector

• Support clients in evolving their information systems and digitally transforming their business processes across the aerospace, space, and defense sectors
• Gather and analyze user requirements and translate them into suitable functional solutions
• Facilitate workshops with business teams
• Model processes and identify areas for improvement
• Draft functional specifications and design documents required by project teams
• Participate in tool configuration
• Prepare test campaigns and monitor defects
• Support users during user acceptance testing, deployment, training, and change management
• Coordinate business teams, development teams, and program managers
• Contribute to the continuous improvement of clients’ applications, processes, and tools

Business Analyst, AMOA – Aerospace Sector

Engineer

• Integrate software across vehicle domains
• Manage integration, validation, baselines, configurations, and build releases
• Troubleshoot software, communication, and integration issues across ECUs and domains
• Drive root-cause resolution in HIL/SIL, proving grounds, and public roads
• Perform and monitor vehicle tests
• Manage interfaces, variants, configurations, baselines, flashing, deployment, and release alignment with verification environments
• Identify, document, and report deviations and system issues
• Support troubleshooting, root-cause analysis, and continuous improvements
• Work cross-functionally with architects, developers, product owners, and verification teams
• Support end-to-end integration, verification, troubleshooting, and release readiness of vehicle systems

Integration & Verification Engineer – Automotive

QA Engineer

• Write and execute test cases
• Interface regularly with customers
• Reproduce issues and verify and validate fixes
• Support remote testing
• Work in a role requiring 5 days' presence at the Newbury office

Junior Network Test Analyst

Solutions Engineer

• Design and develop Generative AI and business automation solutions
• Integrate AI services with enterprise platforms through APIs and cloud services
• Participate in developing backend and frontend applications supporting intelligent solutions
• Implement conversational agents, virtual assistants, and automated business workflows
• Collaborate with multidisciplinary software engineering, data, and operations teams
• Ensure industrialization, monitoring, and maintenance of deployed solutions
• Contribute to architecture design, technical standards, and development best practices
• Support digital transformation initiatives integrating AI solutions with corporate systems, cloud platforms, and business processes
• Ensure scalability, security, and operational excellence in production environments

AI Solutions Engineer

Field Engineer

• Gestione del ciclo di vita delle piattaforme e delle applicazioni RAN
• Garantire l'integrità, la disponibilità e la coerenza dei dati di rete
• Coordinare l'evoluzione delle piattaforme, gli upgrade, il supporto operativo e la risoluzione delle problematiche
• Assicurare disponibilità, consistenza e qualità dei dati di rete a supporto delle funzioni di ingegneria RAN nelle attività di analisi dei dati
• Collaborare con i team IT su infrastruttura, sicurezza, connettività e operational readiness
• Partecipare ad attività di assessment, Proof of Concept (PoC) e valutazione di nuove soluzioni
• Guidare iniziative di miglioramento continuo, automazione e semplificazione dei processi
• Supportare la delivery dei progetti per clienti nei settori Internet Service Provider

RAN Platform – Service Engineer

• Analyze requirements specifications, technical specifications, and certification requirements
• Conduct analytical sizing studies and mechanical substantiation of structures
• Implement finite element simulations and interpret the associated results
• Participate in monitoring, analyzing, and correlating qualification and certification tests
• Prepare calculation reports, substantiation notes, and technical documentation required for structural validation
• Contribute to innovative mechanical stress analysis and numerical simulation projects in the aerospace, space, and defense sectors

Mechanical Stress Engineer – Internship

Analytics Engineer

• Design, develop, and maintain automated data pipelines for analytics and reporting
• Source, extract, transform, and load data using SQL, Python, dbt, and Snowflake
• Build and optimize data models for business intelligence and dashboarding
• Develop and maintain dashboards, metrics, and KPI reporting solutions
• Perform ad hoc data analysis to identify trends, opportunities, and business insights
• Collaborate with business stakeholders to understand reporting requirements and translate them into scalable data solutions
• Support business-case development with data-driven recommendations
• Ensure data quality, integrity, and reliability across analytics environments
• Partner with analytics and business teams to improve customer experience measurement and reporting