Overview

Inscríbase ahora, lea los detalles del trabajo desplazándose hacia abajo. Verifique que posee las habilidades necesarias antes de enviar una solicitud.

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 general 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 xugodme like Spark, HDFS, Parquet

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

📌 Data Engineer (Barcelona)
🏢 Jobrapido
📍 Barcelona