> Markdown version of [/jobs/ext/2070579-data-ai-professionals](https://www.wearedevelopers.com/jobs/ext/2070579-data-ai-professionals). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI professionals - **Company:** Accenture - **Location:** Barcelona, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, BigQuery, Cloud Computing, Information Engineering, Machine Learning, Marketing Information Systems, Power BI, Salesforce.Com, Software Deployment, Tableau (Software), Google Cloud, Data Ingestion, Large Language Models, Snowflake, Apache Spark, Generative AI, Adobe, Data Lakes, HuggingFace, Apache Kafka, Data Management, Machine Learning Operations, Virtual Agents, Azure Synapse Analytics, Looker Analytics, Data Pipelines, Databricks - **Published:** August 15, 2026 - **Apply:** https://es.trabajo.org/oferta-4112-8c5b6ba1e636061d029b86f8e1c0c79d ## About the Role Machine Learning, or AI projects. Minimum 3 years of professional experience in at least one of the following technology areas: Cloud and data platforms: AWS, Azure, GCP, Databricks, Snowflake, BigQuery, or Synapse. Data engineering and processing: Spark, Kafka, Airflow, dbt, or Delta Lake. Analytics and BI: Power BI, Tableau, or Looker. Professional experience working with production environments and enterprise-scale projects. Residence in Spain and legal authorization to work in Spain. Requisitos valorables: Experience with Generative AI and LLM technologies such as Azure OpenAI, OpenAI APIs, Hugging Face, LangChain, RAG, or intelligent agents. Experience with Customer and Marketing Data platforms such as Adobe or Salesforce. Experience in international projects or multicultural environments. Official cloud certifications (AWS, Azure, or Google Cloud). At Accenture, a company recognized as a Great Place To Work®, we are committed to a hybrid work model that, supported by ## Description technologies including Databricks, Snowflake, BigQuery, and Synapse. Develop and operate scalable, production-grade data pipelines using Spark, Kafka, Airflow, dbt, and Delta Lake. Contribute to advanced analytics, machine learning, and Generative AI use cases, including LLM-based architectures, RAG solutions, and intelligent agents. Collaborate with multidisciplinary teams to deliver end-to-end data-driven solutions from design through production. Responsibilities: Define and implement data and AI architectures aligned with business requirements and Accenture technical standards. Deliver end-to-end solutions, from data ingestion and modeling to analytics consumption and production deployment. Apply and continuously improve best practices in Data Engineering, Analytics, MLOps, and LLMOps. Actively participate in global technical communities and innovation initiatives within the Data & AI ecosystem. Requisitos imprescindibles: Minimum 3 years of professional experience in Data, Analytics ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)