data-engineer

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.

Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.

At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.

For more information, visit www.exlservice.com.

• Lead data engineering strategy across projects.
• Drive innovation in practices and optimization.
• Represent team in executive meetings.
• Develop long-term data plans.

Data Platform Operations Support

Data Platform Operations Support leading data engineering strategy across projects for EXL. Driving innovation and optimization while collaborating with various teams in the organization.

Decathlon Colombia is an online and physical retailer offering a wide range of sporting goods, apparel, footwear and accessories across more than 60 sports for men, women and children. The company operates e-commerce storefronts and physical stores in Colombia, provides services like corporate sales, repair/maintenance, sustainability and circular-economy initiatives, and emphasizes research and product development to deliver affordable sport equipment, free shipping offers and customer support. The site includes product categories, promotions, shipping and payment information, store locations, and customer service channels.

En Decathlon Colombia, somos más de 600 colaboradores apasionados por el deporte que vivimos cotidianamente nuestro sentido democratizar el deporte.   Compartimos una cultura de empresa fuerte y única, reforzada por nuestros valores: vitalidas, responsabilidad, generosidad y autenticidad. 

En Decathlon, la innovación es el centro de nuestras actividades: desde la investigación y el desarrollo hasta la venta, pasando por la concepción, el diseño, la producción y la logística. Los equipos de nuestras veinte marcas pasión ponen toda su energía en la concepción de productos técnicos, atractivos y simples, siempre con los precios más accesible. Estos productos, disponibles exclusivamente en Decathlon, están destinados a todos los apasionados por el deporte, desde el principiante hasta el profesional.

 En Decathlon el eje principal son las personas: los colaboradores son la primera riqueza de nuestra empresa.

Por eso, somos una empresa donde las personas pueden crecer y los ayudamos en su camino.  Damos confianza a los colaboradores y los proyectos se realizan en conjunto teniendo en cuenta las opiniones de todos y generando innovación. 

  Decathlon también ofrece  experiencia internacional en la carrera de las personas.

Decathlon Colombia

• Diseñar, construir y optimizar el ecosistema de datos e inteligencia artificial de nuestra filial.
• Construir y mantener flujos de datos (ETL/ELT) que alimenten nuestras estrategias de Supply Chain, Retail y E-commerce.
• Desarrollar y desplegar modelos de Machine Learning (MLOps) para personalización de usuario, predicción de demanda y optimización de inventarios.
• Democratizar el acceso a la información, asegurando que cada líder deportivo en Colombia tome decisiones basadas en datos reales.
• Escalar nuestras soluciones utilizando herramientas de vanguardia en la nube.
• Diseñar, desarrollar y mantener sistemas de Generación Aumentada por Recuperación (RAG) para permitir que los modelos de lenguaje (LLMs) interactúen de forma precisa con la base de conocimiento interna de la empresa.
• Crear e integrar agentes autónomos y flujos de trabajo (workflows) capaces de ejecutar tareas complejas, interactuar con APIs y tomar decisiones lógicas.
• Implementar y gestionar conexiones seguras mediante el protocolo MCP (Model Context Protocol) para que la IA interactúe fluidamente con el entorno de datos y herramientas de la empresa.
• Construir y afinar modelos de Machine Learning tradicionales o predictivos según las necesidades específicas de las áreas de negocio.

Data Engineer, AI Engineer – Ingeniero de Datos, IA

Data & AI Engineer at Decathlon Colombia designing and optimizing data ecosystems. Involves building data pipelines and deploying machine learning models.

Stefanini LATAM is a technology solutions provider with over 30 years of experience in digital transformation. The company focuses on integrating innovative technological solutions for businesses to enhance their operational models and customer experiences through automation, artificial intelligence, cybersecurity, and data analytics. Stefanini collaborates with clients to identify opportunities for optimization and growth, ensuring that businesses can adapt to the evolving digital landscape effectively.

Somos una multinacional brasileña que actúa en el sector de servicios en tecnologías de la información. Con un soporte en más de 30 idiomas, somos la 5ª empresa más internacionalizada, según la Fundación Dom Cabral, actuamos en más de 40 países y nos posicionamos entre las 100 mayores empresas de TI del mundo (BBC News). Ofrecemos procesos de transformación digital,  servicios en Consultoría, Integración, Desarrollo de Soluciones, BPO, Outsourcing para Aplicaciones e Infraestructura, entre otras soluciones.Síguenos también en:https://www.instagram.com/stefaninilatam/https://x.com/stefaninilatamhttps://www.youtube.com/c/StefaniniGlobal

Stefanini LATAM

• Diseñar e implementar la arquitectura de datos para los proyectos asignados.
• Definir e implementar estándares y mejores prácticas de modelado de datos.
• Desarrollar estrategias para consolidar y normalizar datos de diversas fuentes.
• Realizar perfiles y análisis de datos para identificar problemas de calidad de los datos y recomendar soluciones.
• Implementar soluciones para resolver identidades múltiples y garantizar la integridad de los datos.
• Diseñar sistemas que permitan respuestas en tiempo real a consultas y análisis de datos.
• Escalar la arquitectura para manejar volúmenes masivos de información.
• Colaborar estrechamente con equipos técnicos para garantizar el éxito del proyecto.
• Colaborar con las partes interesadas del negocio para comprender los requisitos de datos y traducirlos en soluciones técnicas.

Data Architect

Data Architect responsible for designing and implementing data architecture at Stefanini. Collaborate with technical teams and stakeholders in a hybrid work environment.

• Diseña, construye y opera plataformas y pipelines de datos escalables, seguros y auditables en Azure para casos de uso bancarios. Es responsable de la ingesta, estandarización, modelado, performance y confiabilidad del dato, habilitando analítica avanzada/ML y reporting bajo prácticas DataOps.

Data Engineer

Data Engineer designing data platforms in Azure for banking use cases at Stefanini. Responsible for data ingestion, modeling, and reliability, enabling advanced analytics and reporting practices.

Dialectica is an information services company that provides unique, real-time insights and expert knowledge to top business professionals worldwide. With locations in Athens, London, New York, and Montreal, Dialectica partners with leading investment and consulting companies, as well as global corporate businesses, enabling them to gather real-time information and market insights from industry experts across various markets, industries, and regions. Dialectica is recognized for building a trusted knowledge-sharing platform combining highly trained client service professionals, cutting-edge technology, and a robust compliance framework. They help businesses and investment professionals make smarter, better, and faster decisions by offering services like expert interviews and B2B surveys tailored to client needs. They are proud of their fast growth and recognition as a top workplace in Europe and Greece.

Dialectica is an information services company that shapes better business decision making worldwide. We partner with the world’s leading investment and consulting companies, enabling them to collect real-time information and market insights from industry experts across markets, industries, and regions. 

Guided by our mission to achieve unparalleled customer recognition, we are building the most trusted and innovative knowledge-sharing platform in the world. Every day we work on our aspiration to be a truly industry-leading organization by attracting and cultivating ambitious talent based in Athens, London, New York, Montreal and Vancouver. We plan to have a strong presence across the world with more than 1,200 team members in the coming five years.

For 2023, 2022 and 2021, Dialectica has been recognized as one of Europe’s fastest-growing companies by the Financial Times and a Best Workplace in Europe by the Great Place to Work Institute for 2022 and 2021. It is also named a Best Workplace and a top employer in Greece in 2022, 2021 and 2020.

Dialectica

• Architect End-to-End Systems: Go beyond traditional data pipelining. Design and oversee the implementation of complex, distributed data architectures that span ingestion, processing, storage, and serving layers on AWS.
• Bridge App & Data: Collaborate deeply with Backend and Frontend engineering teams during the design phase of new features. You will influence database schema design in microservices and define event emission standards to ensure data is usable downstream before code is even written.
• API & Consumption Layer Design: Don't just dump data into a warehouse. Architect high-performance data access layers (e.g., GraphQL APIs, low-latency lookups via Redis) that allow our product teams to consume processed data easily and efficiently in the UI.
• Elevate Engineering Standards: Define and enforce best practices for Infrastructure as Code (Terraform), CI/CD for data products, data testing, and observability capabilities across the entire stack.
• Technical Leadership & Mentorship: Serve as a technical beacon for the data organization. Mentor Senior Data Engineers, conduct high-level code reviews, and drive pragmatic technical decision-making that balances immediate business needs with long-term scalability.
• Solve the "Hardest" Problems: Take ownership of the most complex, intractable technical challenges related to data consistency, real-time processing, and cross-system integrations.

Staff Data Engineer

Staff Data Engineer needed to architect data systems at Dialectica. Collaborate on complex infrastructures and mentor engineering teams, focusing on high-quality data pipelines.

Findasense is a global customer experience company with capabilities in innovation consulting, experience factory, and technology integration. It aims to innovate and transform the way businesses interact with people, leveraging data science to create personalized customer experiences and execute strategies through relevant content creation. Founded in Madrid in 2007, Findasense has grown to employ over 300 people from more than 20 nationalities across 12 global offices. The company partners with iconic brands like The Coca-Cola Company, L’Oreal, Huawei, and Lenovo, helping them achieve omnichannel content integration and digital transformation across multiple markets around the world. As a B Corp certified company, Findasense is committed to sustainability and using business as a positive force for change.

We are a global Customer Experience company with consulting, agency and technology integrator capabilities, who believe in business as a positive force for change.

Our consulting, solutions and products allow companies to create a frictionless consumer journey through all channels (phone, social, web, mobile, retail, etc). We use the power of data science to generate personalized experiences and execute strategies by creating relevant content.

With a mission to innovate and transform the way organizations relate to people, we create global and local solutions to drive the digital transformation of our customers, with more than 300 employees trained as innovation leaders, around 20 countries around the world: United States, Argentina, Chile, Peru, Costa Rica, Colombia, Panama, Guatemala, Ecuador, Dominican Republic, Spain and Mexico.

We have a deep and multidimensional knowledge of the consumer in more than 10 industries, obtained by working as a partner with companies such as: L'Oreal, The Coca-Cola Company, Kimberly Clark, Abbott, FOX, Huawei, Bimbo, Lenovo, Banco Santander, Electronic Arts, IE Business School, Orange and Bayer among others.

Findasense

• Desarrollar, mantener y optimizar pipelines ETL/ELT de alto volumen y procesos de datos en nuestra Data Experience Platform para la ingestión, transformación y carga eficiente de datos, asegurando su eficiencia y confiabilidad.
• Liderar la arquitectura de datos asegurando buenas prácticas de modelado, particionamiento, versionamiento y orquestación.
• Implementar integraciones de datos mediante APIs, conectores cloud, SFTP y servicios serverless.
• Construir y desarrollar tableros de alto impacto en visualización utilizando Power BI, DOMO y otros.
• Colaborar estrechamente con equipos de análisis y ciencia de datos para comprender sus necesidades y ofrecer soluciones técnicas en ingeniería de datos y visualización.
• Automatizar procesos y optimizar cargas incrementales, full history y procesamiento distribuido.
• Proponer y liderar iniciativas de innovación usando AI, DataOps, CI/CD y automatizaciones.
• Proponer y diseñar nuevos análisis, KPI's y métricas basados en un profundo conocimiento del negocio.
• Gestionar y cumplir con los proyectos y retos asignados, asegurando su finalización dentro de los plazos establecidos.
• Impulsar la innovación y automatización de procesos utilizando herramientas de análisis de datos e inteligencia artificial como OpenAI.
• Supervisar y guiar a ingenieros de datos de niveles junior o intermedio.
• Documentar soluciones, flujos, modelos y procesos para asegurar escalabilidad y mantenimiento.

Senior Data Engineer – Intelligence

Data Engineer Senior responsible for building data architecture and optimizing pipelines for Business Intelligence. Collaborating with analysts to develop insights using Power BI and Azure technologies.

CloudHesive is a leading provider of innovative cloud solutions and managed services, specifically tailored for AWS technologies. They specialize in AWS migrations, operational and cost optimization, application modernization, and managed security services. With a focus on empowering businesses through cloud technology, CloudHesive partners with customers across various sectors, including public and commercial industries, to enhance their operations and customer experiences using advanced data analytics and AI solutions.

CloudHesive is a customer-obsessed Amazon Premier Partner specializing in consulting, managed services and SaaS solutions. We help our customers get the most out of their AWS journey, providing them with our unique expertise, knowledge & assistance along every step.We specialize in helping public and private-sector customers transfer their environment from traditional datacenters to robust cloud and services-based solutions. We look for value-driven solutions that allow our customers to add flexibility, efficiency, and cost savings in order to increase productivity, without worrying about having enough space to properly and safely store sensitive/private data.CloudHesive AWS Competencies and Specializations include:Advertising and MarketingDevOps Consulting CompetencyDigital Workplace Consulting CompetencyEducation Consulting CompetencyGenerative AI ServicesLevel 1 MSSP Consulting CompetencyMicrosoft Workloads Consulting CompetencyMigration Consulting CompetencySaaS Consulting CompetencySmall and Medium Business ServicesAmazon Connect PartnerWell Architected PartnerCloudFront Delivery PartnerImmersion Day PartnerAWS Lambda Delivery

CloudHesive

• Desarrollar soluciones utilizando tecnologías de datos de AWS de vanguardia
• Determinar de dónde extraer los datos, cómo recuperarlos y construir algoritmos para que el acceso a los datos sea más sencillo y útil para los clientes
• Investigaciones sobre diferentes enfoques para el almacenamiento y explotación de datos en AWS
• Resolver problemas diseñando, desarrollando, probando e implementando soluciones de software
• Supervisar las métricas de rendimiento del sistema para identificar posibles riesgos/problemas
• Relevamiento y confección de análisis de datos (exploratorios, prescriptivos y/o predictivos)
• Desarrollo de pipelines de extracción transformación y carga de datos de diversos tipos y orígenes, tanto en batch como en tiempo real

Data Engineer responsible for designing and managing AWS data solutions for consulting clients. Involves pipelines, analytics, and data governance.

Hybrid Data Engineers roles in Colombia

Browse 7 hybrid data engineers roles hiring in Colombia plus related opportunities such as data architect, analytics engineer and product analyst.

7 jobs found

Data Platform Operations Support

EXL

Data Engineer, AI Engineer – Ingeniero de Datos, IA

Decathlon Colombia

Data Architect

Stefanini LATAM

Data Engineer

Stefanini LATAM

Staff Data Engineer

Dialectica

Senior Data Engineer – Intelligence

Findasense

Data Engineer

CloudHesive