Internal mobility test
The role involves performing specific tasks as outlined in the internal mobility process. Employees are expected to contribute to the company's growth while adhering to inclusive and ethical business practices.
The role involves performing specific tasks as outlined in the internal mobility process. Employees are expected to contribute to the company's growth while adhering to inclusive and ethical business practices.
You will partner with business stakeholders to translate commercial challenges into analytical models and actionable insights. Additionally, you will collaborate with product teams to transform these analyses into scalable digital solutions for revenue management.
You will collaborate with data science teams to implement and manage machine learning models and industrialized processing pipelines into production. Additionally, you will design and deliver generative AI solutions while defining best practices for ML and LLM operations.
You will collaborate with Data Science teams to implement and manage industrialized machine learning models and GenAI solutions into production. Additionally, you will define best practices for ML/LLM operations and present technical solutions to internal and external clients.
You will collaborate with data science teams to implement and manage machine learning models and generative AI solutions into production. Additionally, you will define best practices for ML/LLM operations and present technical concepts to internal and external clients.
The Supply Chain Manager will support the development of supply chain analytics offerings, including demand forecasting, inventory optimization, and procurement strategies. They will also act as a subject matter expert in client-facing advisory roles, leading solution design and mentoring project teams.
Take end-to-end ownership of technical IT projects in Data & Analytics, BI, and Web Development from initiation to delivery. Manage scope, budget, timelines, and stakeholder expectations while leading technical teams to drive business outcomes.
Act as a strategic liaison between business stakeholders and delivery teams to manage requirements, process analysis, and solution design. Lead continuous improvement initiatives, facilitate workshops, and govern requirements throughout the project lifecycle to ensure alignment with business objectives.
The Business Analyst drives process improvement initiatives and facilitates requirements workshops to define functional specifications and user stories. They also lead UAT planning, manage data catalogs, and advise stakeholders on optimal solutions to meet business needs.
The role involves defining testing approaches, identifying quality risks, and driving improvements across the team. You will be responsible for designing and maintaining automated tests for UI, APIs, and integrations while building scalable automation frameworks.
Provide technical leadership and guidance to the data engineering team while overseeing the design and architecture of scalable data solutions. Collaborate with stakeholders to define project requirements and ensure the delivery of high-quality, efficient data pipelines.
The Data Architect will design and implement scalable data models, governance frameworks, and integration pipelines to ensure data integrity and business alignment. They will also collaborate with cross-functional teams to optimize database performance and provide technical guidance on data architecture best practices.
The architect will design and oversee scalable data infrastructure while collaborating with stakeholders to translate business requirements into effective data solutions. They will also provide technical guidance to engineering teams and ensure data quality, security, and compliance across all data pipelines.
The Senior Data Engineer will develop and maintain comprehensive data platforms using the AWS native stack. They will design reusable modules and collaborate with agile teams to deliver scalable data processing solutions.
Design and implement scalable data processing systems and pipelines on the Azure platform. Collaborate with cross-functional teams to optimize data storage, resolve performance bottlenecks, and ensure efficient data delivery.
The Data Architect will design and oversee scalable data infrastructure while collaborating with stakeholders to translate business requirements into effective data engineering solutions. They are responsible for defining data models, ensuring data quality, and providing technical guidance to engineering teams throughout the implementation process.
Design, model, and develop the GCP data ecosystem including data lakes and warehouses while ensuring optimal performance. Provide technical troubleshooting, mentor junior engineers, and collaborate directly with clients to define business requirements.
Develop and maintain enterprise AI agents using Microsoft Copilot Studio and Azure AI Foundry. Integrate AI solutions with various platforms including Power Automate, SharePoint, and Azure OpenAI models.
The Lead Business Analyst will drive process improvement initiatives and collaborate with stakeholders to define business requirements for procurement functions. They are responsible for translating these requirements into functional specifications for Power BI dashboards and supporting project delivery through effective communication and UAT coordination.
Design, build, and deploy data pipelines in the cloud to ingest and transform data from various sources. Collaborate with cross-functional teams and stakeholders to identify improvement opportunities and ensure optimal database performance.
You will build and maintain React/Next.js applications while ensuring high performance and quality. Additionally, you will collaborate with cross-functional teams to design and develop solutions for supply chain and analytics needs.
Design, develop, and maintain backend services using Python while building and optimizing RESTful APIs and microservices. Collaborate within an Agile/Scrum team to deploy cloud solutions on Microsoft Azure and manage CI/CD pipelines.
Architect and evolve the core M&O platform while integrating SRE principles to ensure system reliability and performance. Implement advanced data quality monitoring and automate infrastructure operations using IaC and CI/CD pipelines.
The Lead Business Analyst will partner with stakeholders to drive data-driven decision-making and translate complex business needs into scalable Power BI solutions. They will also lead requirements management, facilitate cross-functional collaboration, and provide mentorship to junior team members.
The Senior AI Advisor will lead AI solutioning, presales activities, and end-to-end architecture design for strategic client engagements. They will also provide technical leadership, mentor delivery teams, and contribute to the development of Lingaro's AI service offerings.
Design, build, and maintain efficient, reusable, and reliable code for React/Next.js applications. Collaborate with cross-functional teams including BA, QA, and offshore developers to plan, develop, and test mobile and desktop applications.
Lead data, analytics, and AI solutioning activities for strategic sales opportunities while designing end-to-end AI architectures. Collaborate with sales teams to develop account growth strategies and represent the company during customer workshops and executive presentations.
You will design, develop, and deploy Copilot Studio agents integrated with enterprise data sources and build intuitive Power Apps to solve business problems. Additionally, you will automate workflows using Power Automate and implement Application Lifecycle Management (ALM) for robust solution deployment.
The role involves leading end-to-end supply chain consulting engagements, including presales activities, RFP responses, and client discovery. You will act as a bridge between business stakeholders and technical teams to design and implement scalable, data-driven supply chain solutions.
Design, develop, and maintain backend services and microservices using Python and cloud-based solutions. Collaborate within an Agile/Scrum team to implement CI/CD pipelines and manage production environments using Docker and Kubernetes.
The intern will provide administrative and operational support to Account Delivery Managers, including managing team mailboxes and updating internal trackers. They will also assist with system updates, data reporting, and the implementation of AI tools to streamline workflows.
Design and implement complex BI dashboards and reporting solutions while utilizing Google BigQuery and GCP services. Review technical designs, mentor team members, and collaborate with stakeholders to align solutions with business requirements.
The consultant will build and maintain complex LCA models while ensuring adherence to international standards and sustainability KPIs. They will also bridge the gap between stakeholder requirements and technical execution by developing automated, AI-driven sustainability solutions.
The role involves acting as a lead developer on Power Platform projects, designing and implementing complex solutions across the Power Platform suite. You will also be responsible for mentoring junior staff and managing the full solution implementation lifecycle from requirements gathering to maintenance.
Design and implement production-grade AI systems, including LLM-based experiences, retrieval pipelines, and agentic workflows. Collaborate with product teams to build shared AI capabilities and define evaluation-driven development loops for reliability and performance.
The Solution Architect will design end-to-end data and analytics platforms while acting as a trusted technical advisor to clients. The role involves a balanced split between hands-on project delivery and presales activities such as solution scoping and proposal creation.
Design, develop, and maintain backend services and microservices using Python within a Microsoft Azure environment. Collaborate in Agile/Scrum teams to implement CI/CD pipelines, manage cloud-based solutions, and optimize data workflows using Azure Databricks.
The role involves maintaining the observability platform, including monitoring infrastructure with Grafana and Prometheus. Additionally, the engineer will manage CI systems, pipelines, and implement automated performance and diagnostic features.
Design end-to-end data and analytics architectures while acting as a trusted technical advisor to clients. Balance hands-on project delivery with presales activities, including solution scoping, proposal creation, and stakeholder management.
Design and implement scalable data pipelines and processing systems on the Azure platform to ingest, transform, and clean large volumes of data. Collaborate with cross-functional teams, including data scientists and business stakeholders, to provide optimized data solutions and technical guidance.
The role involves supporting end-to-end supply chain growth through presales activities, RFP responses, and client discovery. You will act as a bridge between business stakeholders and technology teams to design and implement scalable, data-driven supply chain solutions.
Develop and maintain React/Next.js applications while ensuring high performance and code quality. Collaborate with cross-functional teams including BA, QA, and offshore developers to deliver mobile and desktop solutions.
Design, build, and maintain efficient React/Next.js applications while ensuring optimal performance and responsiveness. Collaborate with cross-functional teams in an agile environment to develop mobile and desktop web applications.
Lead end-to-end supply chain transformation activities, including presales, RFP responses, and functional solution design. Act as a bridge between business stakeholders and technical teams to translate complex supply chain challenges into scalable, technology-enabled solutions.
Define and apply evaluation-driven development loops for AI systems focusing on quality, reliability, and cost. Collaborate with product teams to prototype scalable AI building blocks and implement AI-native engineering practices.
Design, develop, and maintain scalable server-side logic and APIs for web applications. Manage database schemas and implement security best practices to ensure application performance and protection.
The consultant will design and deliver edge-to-cloud industrial architectures, bridging OT systems with cloud platforms to enable data-driven manufacturing use cases. They will provide technical leadership, validate implementation plans, and ensure robust cybersecurity and interoperability across global manufacturing sites.
The consultant will build and maintain complex LCA models while translating findings into actionable business recommendations and sustainability KPIs. They will also lead technical initiatives to automate LCA processes using cloud platforms and AI-driven solutions.