Jobs at Metyis

The AI Architect will design AI solutions, ensure technical consistency, integrate systems, monitor performance, and establish data foundations and architectural standards.

Build and maintain data pipelines in Palantir Foundry using Python and PySpark; develop data models, ontology, consumption layers, and analytic applications. Translate business requirements into technical solutions, ensure data quality through testing and monitoring, optimize Spark transformations, and apply software engineering practices. Collaborate with client data and IT teams on source integration and deployment. The role requires advanced SQL, cloud data platform experience, Git proficiency, and Spanish and English fluency.

Develop and maintain native iOS applications using Swift and modern frameworks, integrate enterprise backends (Shopify, Azure Middleware, ERP), implement native capabilities (Face ID, Apple Wallet, push notifications), collaborate with designers and cross-functional teams, write unit/UI tests, and support CI/CD with Azure DevOps.

Lead technical roadmap and architecture for client data platforms. Design and deliver end-to-end ETL/ELT pipelines on Azure, collaborate with data scientists, ensure testing and CI/CD, coach teams, manage stakeholders, and implement data governance and scalable analytics solutions.

Develop and maintain native iOS applications using Swift and modern frameworks; build native modules for enterprise apps; integrate with backend services (Shopify Headless APIs, Azure Middleware, ERP); implement Face ID/Touch ID, push notifications, deep linking, Apple Wallet, offline support; collaborate with React Native, UX/UI, backend, QA and DevOps teams; write unit/UI tests, support CI/CD with Azure DevOps, and document and optimize app performance.

Lead and deliver Azure-based data platforms and production ETL/ELT pipelines, own architecture and technical roadmap, coach a small team, collaborate with data scientists, implement CI/CD and automated testing, and produce data products, insights, and dashboards while managing stakeholder relationships.

Lead enterprise solution architecture and digital transformation engagements from discovery through production readiness. Define scalable, secure, cloud-native architectures, technology standards, governance frameworks, modernization roadmaps, and implementation strategies. Own technical solutioning for proposals and RFPs, including estimation, staffing, timelines, and risk assessment. Partner with executive stakeholders and cross-functional teams, mentor architects and engineers, and support account growth through trusted client relationships and follow-on opportunities.

Lead client engagements in Financial Services, developing strategy, change management, and business cases. Manage client relationships and teams, oversee project delivery, conduct research and advanced data analyses, and present data-driven insights to senior stakeholders.

Lead Amazon and third-party platform initiatives for a US-based client, manage day-to-day client engagement, drive sales growth and operational performance, shape and execute Data & Analytics roadmaps, prepare executive materials, and coach internal teams to build digital commerce capabilities.

Work on omnichannel customer analytics and ML solutions (churn, CLV, segmentation, personalization) from requirements to deployment using Python, PySpark, MLflow, Databricks and cloud platforms; apply statistical testing, communicate insights, and collaborate with cross-functional teams to support eCommerce and retail strategies.

Lead delivery of Data & Analytics, AI, Digital Commerce and transformation projects; manage stakeholders, Agile/Waterfall processes, project plans, governance and cross-functional teams; support adoption, value realization and business development.

The Product Owner Lead will manage projects, collaborate with stakeholders, and drive data and analytics solutions to enhance business operations.

Lead and execute strategy engagements for fashion clients, redesigning networks, S&OP, inventory and wholesale strategies. Manage senior client relationships, run workshops and steering committees, mentor junior staff, and contribute to business development and proposals.

Lead Strategy & Execution workstreams for FMCG/Food & Beverage clients: design go-to-market and revenue growth management initiatives, perform complex data-driven analysis, manage client relationships, lead workshops and presentations, support business development, and mentor junior team members.

Work with the Data & Analytics team to solve client data science and analytics problems. Apply theoretical machine-learning and statistical knowledge in practice, collaborate with Data Scientists, Engineers, and Analysts, take on project tasks, and contribute to knowledge sharing and visualization deliverables.

Define and drive Azure-based Data Platform DevOps strategy. Architect, automate, and optimize CI/CD pipelines for big data workflows (Databricks, Spark, Delta Lake). Implement IaC, security best practices, observability, incident management, and mentor cross-functional teams to ensure scalable, secure, high-performing data platforms.

Leads end-to-end B2B digital commerce consulting engagements, including market and competitor assessment, strategy, commercial modeling, business cases, operating model design, launch, and continuous improvement. Manages multidisciplinary teams and senior client stakeholders while supporting business development and practice growth. The role requires strong consulting, quantitative, commercial, stakeholder management, executive communication, and execution capabilities across sales, marketing, CRM, pricing, assortment, customer management, and P&L.

Lead end-to-end recruitment for consulting, data & analytics, and related roles in Spain (and sometimes globally). Partner with hiring leaders, design sourcing strategies, build talent pipelines, deliver excellent candidate experience, support employer branding, and use data to improve hiring. Act as a trusted advisor and collaborate with global People teams.

The Principal will manage client interactions, oversee projects, and develop business solutions through data insights while mentoring team members.

As a Data & Analytics Intern, you will solve Data Science problems, assist in developing data pipelines, and interact with clients to provide data-driven solutions, while gaining valuable work experience and mentorship.