Lieu : 100 % distance Statut : Freelanc Disponibilité : immédiate / démarrage rapide Collaboration : quotidienne Nous recherchons un(e) créatif(ve) ads ultra réactif(ve), capable de produire rapidement des contenus performants avec un objectif clair : générer des résultats. Ce poste est directement lié à la performance business. Tu ne seras pas là pour “faire du montage”. Tu seras là pour : tester optimiser et faire performer les campagnes Vos missions VOTRE RÔLE : Création & production de contenus ads Monter des vidéos ads courtes, dynamiques et orientées conversion: - Créer des hooks impactants dès les premières secondes - Adapter et décliner rapidement des créas existantes - Produire des variations pour tester différents angles marketing - Créer des visuels statiques performants (Canva ou autre) Optimisation & performance: -Analyser les performances des contenus -Dentifier ce qui fonctionne / ce qui ne fonctionne pas - Proposer des axes d’amélioration - Tester de nouvelles idées en continu Réactivité & exécution : - Produire rapidement des contenus (deadlines courtes) - Être disponible au quotidien - S’adapter aux priorités et aux besoins rapides - Maintenir un rythme d’exécution élevé Vos compétences PROFIL RECHERCHÉ Nous cherchons quelqu’un qui comprend la logique des ads et de la performance. - Excellente maîtrise du montage vidéo (formats courts, ads) - Bonne compréhension des hooks, du rythme et des mécaniques de conversion - Capacité à créer des visuels statiques efficaces (Canva ou équivalent) - Expérience ou forte sensibilité au performance marketing - Capacité à produire rapidement sans perdre en qualité - Ultra réactif(ve) - Rapide dans l’exécution - Autonome et débrouillard(e) - Force de proposition - Orienté(e) résultats - Capable de travailler dans un environnement exigeant et rapide Avantages POURQUOI NOUS REJOINDRE Tu travailles sur des projets à forte croissance dans un environnement entrepreneurial. Ce poste te permettra - De travailler sur des campagnes ads concrètes et performantes - D’avoir un impact direct sur les résultats - Un environnement entrepreneurial dynamique - De monter en compétences sur la performance marketing - De collaborer sur des projets visibles et ambitieux Poste avec possibilité d’évolution selon performance PROCESS DE RECRUTEMENT ⚠️ Pour que votre candidature soit étudiée, merci d’envoyer un mail à brasdroiseva@gmail.com avec TOUS les éléments ci-dessous : 📄 1. Votre portfolio (obligatoire) 💸 2. Votre tarif par vidéo / prestation (obligatoire) 📅 3. Vos disponibilités réelles (obligatoire) 🎯 4. Quelques exemples de créas ads déjà réalisées (fortement recommandé) ❗️Toute candidature incomplète ne sera pas étudiée. Envoie-nous un mail

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description We are looking for an experienced Senior Data Engineer with expertise in AI‑powered tools, workflow automation, and modern data platform engineering. You will develop data software applications, data platforms, and data products. It partners with application engineers, data engineers, data scientists, and CRM teams to develop scalable solutions. The Engineer will contribute both independently and collaboratively. The Engineer's responsibilities will include defining engineering standards, performing data analysis and modeling, writing high‑quality code, conducting testing and code reviews, preparing deployments, ensuring operational readiness, and supporting Agile development practices. Additionally, the Engineer will keep Security first in mind. You will report to the Development and Operations Manager. - Lead the implementation of AI and LLM‑based tooling to automate data engineering workflows (e.g., code generation, data quality monitoring, schema drift detection). - Build automated frameworks for data ingestion, transformation, orchestration, and deployment using AI‑powered accelerators. - Integrate AI/ML capabilities into pipelines, including anomaly detection, metadata enrichment, and pattern recognition. - Develop automated data validation frameworks and implement AI‑assisted data quality checks. - Take technical ownership of all stages and iterations of assigned software components. - Design technology solutions meet all functional and non‑functional our requirements. - Provide ongoing production support by overseeing critical data pipelines, resolving incidents, ensuring system stability, and driving root‑cause analysis for continuous improvement. - Produce clear documentation of designs, architectural decisions, and code artifacts; participate in knowledge sharing. - Provide regular updates and communications to project partners. - Ensure solution adoption through training, documentation, and readiness planning. - Work across multiple projects and departments, supporting engineering tasks and cross‑functional programs. - Apply industry best practices, engineering standards, and governance principles. - Be a important contributor to deliver high‑value, on‑time, on‑budget complex projects. Qualifications - Bachelor's degree in Computer Science or equivalent experience. - 5+ years in commercial software development environments. - 5 + years of hands‑on experience in data engineering or similar roles. - Demonstrated experience using AI/LLM tools for code generation, testing, monitoring, and automation. - Hands‑on experience with: - PySpark, Python, SQL (expert‑level) - Data engineering pipelines, frameworks, and automation - Knowledge of data platform paradigms and modern software architecture. - Cloud experience with AWS, including services such as API Gateway, Lambda, EC2, ECS, SQS, SNS, DynamoDB, Redshift, and Aurora. - Understand detailed technical specifications and adapt quickly to new technologies Experience making any architectural tradeoffs required to provide software solutions. - Experience building scalable, resilient, and observable distributed systems and problem‑solving skills across a range of complexities. - Experience troubleshooting issues with users. - Familiarity with MLOps, ML orchestration, and model deployment workflows. Additional Information This is a permanent remote home-based role in Costa Rica. No relocation available. Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-ML2 #LI-Remote This is a remote position. - Employee Status: Regular - Role Type: Hybrid - Department: Product Development - Schedule: Full Time - Shift: Day Shift

Company Background Our client is a leading provider of restaurant operations software used by global brands across more than 150,000 locations in 100+ countries. The platform helps restaurants manage inventory, labor, scheduling, food safety, and operational processes to improve efficiency and reduce costs. Project Description The project focuses on developing and enhancing a restaurant operations platform, streamlining processes such as inventory management, scheduling, compliance, and workforce training. Technologies - PL/SQL, Bash, SQL - Oracle Database - Linux - Infrastructure as Code - Oracle GoldenGate 21c Microservices What You'll Do - Develop PL/SQL and Bash scripts to automate complex business workflows - Design and optimize databases for high-volume OLTP and DSS systems - Perform SQL tuning and improve database performance - Contribute to Infrastructure as Code (IaC) for database platforms - Work with Oracle GoldenGate for data streaming solutions - Monitor and improve automation and system performance - Support modernization of automation tools and processes Job Requirements - 3+ years of experience in software engineering or database development - Strong experience with PL/SQL and Bash scripting - Experience with Oracle Database - Experience in database design (OLTP / DSS) - Strong SQL tuning and performance optimization skills - Experience working in Linux environments - Strong analytical and problem-solving skills - Ability to work independently and take ownership of tasks - Attention to detail and quality-focused mindset - Team player with strong collaboration skills - English level: B2 (Upper-Intermediate) or higher What Do We Offer The global benefits package includes: - Technical and non-technical training for professional and personal growth; - Internal conferences and meetups to learn from industry experts; - Support and mentorship from an experienced employee to help you professional grow and development; - Internal startup incubator; - Health insurance; - English courses; - Sports activities to promote a healthy lifestyle; - Flexible work options, including remote and hybrid opportunities; - Referral program for bringing in new talent; - Work anniversary program and additional vacation days.

• Design, develop, and maintain data pipelines using Azure Databricks • Build and optimize data transformations using PySpark and SQL in Databricks • Implement and maintain Lakehouse architectures using Delta Lake • Develop ETL/ELT pipelines orchestrated through Azure Data Factory • Integrate data from multiple sources into the data platform and analytical layers • Design and maintain data models and data warehouse structures for analytics • Ensure data quality, scalability, and performance of large-scale data processing pipelines • Collaborate with BI teams to support Power BI and reporting platforms • Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required • Contribute to the design of modern cloud-based data architectures