Senior Data & GenAI Engineer/Consultant - Barcelona

Overview

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As a Data & AI professional at Accenture, you help clients design and operate data and analytics solutions on cloud platforms, delivering scalable, production-grade data pipelines and AI use cases. You will collaborate with cross-functional teams to turn data into actionable insights, contributing to advanced analytics and MLOps practices. This hybrid Barcelona role sits at the heart of our Data & AI ecosystem, enabling work across global reference clients and diverse industries. You will shape end-to-end data-driven solutions with a focus on impact, speed, and scalable engineering.

Compensaciones / Beneficios

• Medical, life, and accident insurance
• Medical services and wellbeing programs
• Flexible compensation program and employee share purchase plan
• Flexibility programs (working hours, days off, vacation options)
• Individualized learning and development path
• Diversity networks

Responsabilidades

• Define and implement data and AI architectures aligned with business needs and technical standards
• Deliver end-to-end data and analytics solutions from ingestion to analytics consumption and deployment
• Advance best practices in Data Engineering, Analytics, MLOps, and LLMOps
• Contribute to global technical communities and innovation initiatives within Data & AI
• Collaborate with multidisciplinary teams to deliver scalable, production-ready solutions

Requisitos principales

• Minimum 3 years of professional experience in Data, Analytics, ML, or AI projects
• Minimum 3 years in cloud/data platforms or data processing technologies (AWS, Azure, GCP, Databricks, Snowflake, BigQuery, Synapse)
• Experience xkdbapo with Spark, Kafka, Airflow, dbt, or Delta Lake
• Experience with BI tools (Power BI, Tableau, Looker)
• Production environments and enterprise-scale project experience
• Residence in Spain and legal authorization to work in Spain

• Collaborative teamwork across diverse functions
• Strong communication and stakeholder management
• Proactivity in learning and driving innovations
• AWS, Azure, or GCP; Databricks; Snowflake; BigQuery; Synapse
• Spark; Kafka; Airflow; dbt; Delta Lake
• Power BI; Tableau; Looker