INNOCV Solutions

Data Engineer

• Lead the design, development, and maintenance of scalable and efficient cloud data pipelines
• Ensure data availability, quality, and governance for strategic decision-making
• Design and develop scalable data pipelines and data services using Python and relevant technologies
• Build and maintain robust, automated ETL/ELT processes with clean, modular, reusable, and maintainable code
• Integrate data from APIs, databases, files, and third-party systems using reliable and fault-tolerant integrations
• Develop APIs and data ingestion services to expose, consume, or orchestrate data across systems
• Apply software engineering practices including version control, code reviews, testing, CI/CD, logging, monitoring, error handling, and documentation
• Optimize data ingestion and transformation performance and scalability
• Identify bottlenecks and improve code and infrastructure
• Collaborate with Data Science, BI, Product, and Software Engineering teams to translate requirements into data solutions
• Design solutions with security, data quality, governance, and regulatory compliance in mind
• Contribute to technical decisions, architecture, data platform evolution, and development standards
• Document technical solutions, APIs, pipelines, and processes for maintainability and knowledge sharing

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Backend Engineer

• Develop and maintain backend components and microservices in Go, progressively working more independently
• Design and implement clean, efficient, and well-documented RESTful APIs
• Collaborate with the Frontend team and other technical profiles to integrate services
• Identify, debug, and resolve technical issues in production and testing environments
• Participate in code reviews by providing and receiving constructive feedback
• Write unit and integration tests to ensure software quality and stability
• Propose targeted improvements to application performance and database queries
• Participate in task estimation and sprint planning within an Agile environment
• Contribute to architectural decisions
• Work with clients across industries on meaningful technology challenges

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Backend Developer, Go

Content Marketing Manager

• Transform Creative Strategist briefs into executed social media assets
• Develop storyboards, scripts, post concepts, copy, and visuals
• Create, adapt, and optimize content for TikTok, Instagram, Reddit, and other channels
• Develop content proposals for editorial calendars based on defined content territories
• Develop all copywriting for social media pieces
• Work closely with videomakers to develop short-form video content
• Adapt content to the formats, codes, and behaviours of each platform
• Ensure final assets are consistent with the creative idea, brand tone, and channel requirements
• Bring creative strategy to life through social content while preserving the original creative vision

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Content Specialist

Data Scientist

• Design, develop, and maintain scalable data pipelines using PySpark to process large volumes of data
• Develop, test, and optimize Machine Learning models for predictive analytics
• Manage and deploy Machine Learning environments and workflows using AWS SageMaker and Athena
• Integrate Machine Learning models into production pipelines
• Monitor, maintain, and continuously improve production ML models through MLOps best practices
• Collaborate with cross-functional and multidisciplinary teams to understand business challenges and develop data-driven solutions
• Conduct advanced data analysis using Python and SQL to deliver actionable insights
• Work collaboratively using Git/GitHub and agile development methodologies

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Data Scientist / ML Engineer

Content Creator

• Crear, presentar y analizar contenido para redes sociales junto a Cosmic
• Detectar oportunidades relacionadas con el mundo del fútbol y convertirlas en ideas y formatos de contenido
• Grabar, editar y producir contenido audiovisual
• Gestionar las redes sociales de marcas
• Planificar calendarios editoriales y publicar contenido
• Dinamizar comunidades y activar contenidos y publicaciones promocionadas
• Analizar métricas, elaborar reportes y optimizar contenidos según resultados
• Protagonizar vídeos, presentar e entrevistar frente a cámara
• Reaccionar rápidamente a acontecimientos de actualidad deportiva
• Participar en todo el proceso de creación y activación de contenidos
• Colaborar con equipos multidisciplinares

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• Design, develop and maintain backend services powered by Large Language Models (LLMs), agentic workflows and Retrieval-Augmented Generation (RAG) architectures.
• Build reliable, scalable, production-ready Generative AI systems.
• Apply software engineering practices focused on reliability, evaluation and observability.
• Turn AI prototypes into robust production-ready systems.
• Contribute to the evolution of AI engineering practices.
• Work with a supportive team focused on technology and innovation.

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Backend Engineer – Python, Generative AI

Consultant

• Support the definition and execution of business and digital transformation initiatives
• Analyze organizations, operating models, processes, and business challenges to identify opportunities for improvement
• Structure complex problems and develop actionable recommendations
• Build business cases, financial models, and transformation roadmaps
• Identify opportunities to leverage AI, automation, and data-driven solutions
• Prepare executive-level presentations and strategic deliverables
• Facilitate workshops, interviews, and stakeholder sessions
• Collaborate with multidisciplinary teams and engage directly with clients
• Contribute to proposals, consulting methodologies, and the continuous evolution of consulting capabilities
• Help clients navigate complex business and digital transformation challenges, shape strategic decisions, unlock new opportunities, and drive meaningful change

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Strategy & Transformation Consultant

Digital Marketing

• Support the activation and management of campaigns on SEM platforms such as Google Ads
• Support campaigns on Social Media Ads platforms such as Meta and LinkedIn
• Upload and organize campaign creatives across different platforms
• Assist with campaign monitoring and basic optimization
• Prepare periodic performance reports
• Support analysis of campaign metrics and identification of improvement opportunities
• Collaborate with media specialists, strategists, and analytics teams

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