Minor Hotels Europe and Americas

Procurement

• End-to-End Sourcing Execution: Ability to manage tactical sourcing events (RFQs, e-Auctions, Direct Awards) from initiation to award, ensuring compliance with global and local policies
• Supplier Engagement: Strong communication and negotiation skills in Spanish, Portuguese and English, ensuring effective coordination with regional suppliers
• Spend & Category Alignment: Solid understanding of local market dynamics, inflation trends (e.g., IPCA), and category-specific sourcing levers
• Stakeholder Management: Coordination with Category Managers, Requestors, and team to ensure alignment with business needs
• Data Accuracy & Reporting: Ensure correct documentation, compliance tracking, and timely updates in dashboards or TPH reports
• Agility & Prioritization: Ability to balance multiple sourcing requests while meeting SLAs and ensuring process efficiency
• Perform any other tasks or projects assigned by the Line Manager within the sourcing process, including support to global and regional initiatives and continuous improvement activities

Sourcing Administrator

Financial Planning and Analysis

• Manejo y Control de Cartera
• Trato con áreas de cobranza y marketing
• Revisar la documentación, facturación, y folios de recibo de los clientes
• Subir la papelería de los clientes a las herramientas de control y/o a las adendas

Finance Intern

Full-stack Engineer

• Perform solution-level technical analysis, design and build EDI integrations, and actively participate in testing and defect resolution.
• Leads day-to-day technical execution of integration and API projects.
• Translates solution designs and architecture guidance into working implementations.
• Ensures code quality, consistency, and adherence to standards.
• Learn and adopt new technologies, tools, and frameworks, applying them effectively to delivery needs.
• Work independently with globally distributed teams, providing day-to-day technical leadership, mentoring junior team members, conducting code reviews, and ensuring adherence to best practices.
• Act as the primary technical escalation point for the development team, helping unblock issues, troubleshoot complex defects, and maintain delivery momentum.

Senior Software Engineer – EDI Lead

Artificial Intelligence

• Advise senior executives on how AI can reshape business models, customer experiences, and operational performance
• Define enterprise AI strategies and roadmaps tied to measurable business value and scalable execution
• Lead AI‑enabled product and platform strategies, from prioritization through launch
• Design transformation operating models, including new ways of working, governance, and talent models
• Translate complex AI concepts into clear executive narratives, investment cases, and transformation plans
• Lead cross‑functional teams across strategy, product, data, and technology
• Drive commercial impact through account growth, opportunity shaping, and proposal leadership

Director – AI & Data Transformation

Platform Engineer

• Implement data provisioning patterns based on business requirements, following predefined processes, policies, standards, and metadata management rules
• Create and manage distributed workspaces in Databricks, set up workspace policies, provision Databricks clusters and manage data infrastructure sizing and capacity
• Create Python notebooks, implement data masking processes, create UDFs (SQL/Python), troubleshoot data pipelines
• Ensure data security and compliance with regulations using Databricks and Privacera's features
• Navigate multi-step enterprise approval process across architecture, security, and governance teams
• Design and implement data architecture leveraging technologies such as Databricks, Unity Catalog, Privacera, and Collibra
• Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality
• Design and maintain data models and schemas, incorporating Unity Catalog and Collibra data governance practices
• Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices
• Operationalize Machine Learning models in Batch and Real Time Data Pipelines, leveraging relevant governance setups
• Collaborate with cross-functional teams including data scientists, engineers, and analysts to translate business requirements into scalable solutions

Unity Catalog Platform Engineer

Data Engineer

• Design, develop, and maintain end-to-end data pipelines using Azure services, Databricks, and Snowflake.
• Build scalable and reliable ETL/ELT workflows leveraging ADF and orchestrating data movement across multiple systems.
• Develop high performance data processing solutions using Python and SQL.
• Optimize and tune Databricks notebooks, Delta Lake tables, and distributed data processing workloads.
• Implement data quality checks, validation frameworks, and automated monitoring solutions.
• Collaborate closely with data architects, analysts, and business stakeholders to translate requirements into technical solutions.
• Manage and optimize data models, schemas, and Snowflake environments for performance and cost efficiency.
• Ensure best practices in data governance, privacy, and security across the entire data platform.
• Participate in code reviews, peer technical discussions, and continuous improvement of team standards.

Data Engineer – Azure Databricks

• Lead the end‑to‑end GenAI for SWE Enablement Program, including planning, governance, execution, and continuous improvement
• Establish and operationalize the GenAI for SWE Center of Excellence (COE) and drive its operating model
• Oversee strategy, roadmap, enablement waves, dashboards, reporting, and value realization
• Run Steering Committees and leadership governance forums while coordinating with domain leads, delivery managers, and super users to ensure successful adoption and capability uplift
• Serve as the primary liaison across client leadership, engineering teams, domain stakeholders, and the internal COE
• Manage escalations, remove blockers, and maintain momentum across all workstreams

Program Lead – GenAI for Software Engineering Enablement

Solutions Engineer

• The Oracle SaaS Cloud Inventory, Costing, Product Data-Hub Techno Functional Solution Architect (SCM) will be hands-on senior level consultant who will map business requirements to Oracle SaaS Cloud functionality, solution design for extensions, manage configurations, data migration in the client’s Oracle SaaS & PaaS ecosystem
• This will include coordination within different groups.

Oracle SCM Solution Architect

Financial Crime

• Reviewing alerted transactional activity in search of potentially suspicious activity, such as money laundering and terrorist financing.
• Reviewing existing KYC data to Identify potential gaps within the file.
• Performing investigative research to enrich customer files within the KYC process.
• Reviewing potential sanctions screening alerts to identify customers who are conducting business in sanctioned countries or with sanctioned parties.
• Conducting email and document review in support of investigations into potential market abuse, corruption, or litigation matters.
• Performing technical, industry, and company research using online tools and publicly-available information, executes work plans to assess complex questions of fact, assists in preparing reports and schedules summarizing findings that will be delivered to clients and other parties.
• Performing day-to-day activities in support of consulting projects, including interacting with client personnel, other team members, and professionals from other firms involved in the engagement.
• Preparing client-ready presentations and quantitative exhibits on the project scope and findings.
• Developing and maintaining productive working relationships with colleagues and clients.

Financial Crime Compliance Analyst

• Design, develop and maintain scalable and reliable data engineering pipelines to support analytics and business intelligence needs
• Architect, design and implement solutions that meet stakeholders needs
• Architect, implement and optimize Snowflake data warehouse solutions including data modeling, performance tuning and cost optimization
• Lead and support data migration initiatives including migration from on-premises or legacy data platforms to Snowflake or other cloud based solutions
• Develop and manage ELT/ETL processes using modern data integration tools and frameworks
• Participate actively in requirements gathering, data modeling and design sessions
• Prepare high-level and detailed technical specifications for the projects in accordance with security and architecture documentation objectives
• Develop detailed plans and accurate estimates for the completion of the build, system testing and implementation phases of a project
• Collaborate with data architects, analytics teams and business stakeholders to translate requirements into technical solutions
• Running and optimizing SQL queries on RDBMS like MS SQL server, MySQL, MariaDB
• Ensure data quality, security, governance and compliance throughout the data lifecycle
• Develop code, document and execute unit tests, systems integration, and acceptance tests and testing tools for functions of high complexity
• Troubleshoot and resolve performance, data integrity and pipeline reliability issues
• Document architecture, data flows and operational procedures

Backend Engineer

• You review, correct, manage and distribute technical project documentation and maintain the document management system.
• You manage and track task completion progress and prepare reporting in the relevant tool.
• You regularly report the status of your work package to project management.
• You schedule milestones for your work package, monitor deadlines, and ensure coordinated work among all project stakeholders.
• You support smooth project execution by keeping documentation and coordination processes transparent and actively managing them.

Document Manager, Project Execution

• The Senior Data Engineer will play a key role in designing, developing, and delivering scalable, high‑quality data solutions to support enterprise analytics, reporting, and operational data needs.
• Design, develop, and maintain scalable data pipelines and transformations using dbt and Snowflake.
• Develop high‑quality, high‑performance SQL.
• Implement CI/CD workflows, automation, and version control using Azure DevOps.
• Lead and mentor an offshore data engineering team.
• Partner with business and technology stakeholders to understand requirements, communicate progress, and resolve issues.

Senior Data Engineer – Snowflake

Marketing

• You support clients in translating marketing strategies into scalable, automated customer experiences.
• You design and optimize customer and user journeys across channels, leveraging marketing automation tools and customer data platforms.
• You collaborate with marketers, data specialists, consultants, and project managers to deliver end-to-end solutions.
• You manage segmentation, personas, and audiences, ensuring GDPR-compliant use of customer data.
• You analyze performance, report on results, and continuously improve journeys based on insights.

Marketing Automation Expert

• Design, develop, and maintain software solutions
• Collaborate with cross-functional teams on projects
• Supervise and mentor junior software engineers
• Participate in code reviews and software architecture discussions

Lead Software Engineer

• Lead the design and delivery of sophisticated solutions using Boomi AtomSphere
• Collaborate with enterprise architects and customer technical teams
• Oversee integrations with enterprise systems such as Salesforce and SAP
• Conduct code reviews and ensure best-practice development standards