Data Engineer - barcelona

Overview

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In this role you will help lead the reinvention of client systems through advanced data engineering and analytics. You’ll join a specialized team within Accenture Strategy and Consulting, building high-performance data architectures for global clients. You will work on modern data solutions, governance, and integration with legacy sources, while collaborating across cross-functional teams. This opportunity offers hands-on learning, certification paths, and a meaningful impact on how clients leverage data to drive decisions.

Compensaciones / Beneficios

• Health, life, and accident insurance
• Medical services and wellness programs
• Flexible compensation and stock purchase plans
• Flexibility programs (working hours, time off, vacation)
• Personalized training paths
• Diversity networks

Responsabilidades

• Ingest and process data, ensure data quality, and design scalable ETL pipelines using modern technologies
• Develop data models and architecture schemas, including governance policies and data availability for use cases
• Advise and support clients on data processing and management in collaboration with global teams
• Design data architectures for high-performance data management and integration with legacy sources
• Define standards and best practices for new architectures and applications
• Communicate effectively to capture client requirements and translate them into technical solutions
• Contribute to internal networks and initiatives focused on data engineering and analytics
• Improve data reliability, efficiency, and quality through prototypes and proof-of-concepts
• Collaborate with data architects, modelers, and IT teams to achieve project goals

Requisitos principales

• Advanced programming skills in Python and PySpark (R is a plus)
• SQL and NoSQL technologies
• Big Data technologies like Spark, HDFS, Parquet
xkdbapo
• REST APIs knowledge
• Experience with Public Cloud (AWS, Azure, GCP) or Private Cloud (Palantir, Splunk, Cloudera)
• Hands-on Snowflake experience (a plus)
• CI/CD / DevOps exposure (a plus)
• ML/AI/DL with MLOps focus (a plus)
• Experience with Graph Databases (Neo4j) and data modeling
• Education: Bachelor’s or Master’s in Computer Science, Data Engineering, Mathematics, or related field
• English language proficiency

• Pasión por la innovación y aprendizaje continuo
• Buena capacidad de comunicación
• Trabajo en equipo y colaboración con clientes
• Python
• PySpark
• SQL