Accenture is a leading global professional services company that provides a vast range of services in strategy, consulting, technology, and operations. With a workforce of over 700,000 people serving clients in more than 120 countries, it is a powerhouse in digital transformation, cloud services, and cybersecurity. The company is recognized for its massive scale and its ability to integrate business and technology to drive value for the world's largest organizations.

In Spain, Accenture is one of the largest private employers in the professional services sector, maintaining a significant presence across several regions including Madrid, Barcelona, and Málaga. The company is highly attractive to international professionals due to its diverse project portfolio, multicultural teams, and structured career development paths. It frequently recruits for specialized roles in Industry X, Salesforce, and cloud engineering, often serving as a major entry point for foreign talent into the Spanish corporate landscape.

Originally the consulting arm of Arthur Andersen, the firm became independent in 1989 as Andersen Consulting. It officially rebranded to Accenture in 2001 and has since grown into a global leader through organic growth and hundreds of strategic acquisitions.

Big Data Engineer

Accenture

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Job Description

Accenture, recognized as a Great Place To Work®, is a leading global professional services company that helps the world's leading businesses, public administrations, and other organizations develop their digital core, optimize their operations, accelerate revenue growth, and improve services for citizens, creating tangible value at speed and scale.

We are looking to incorporate a Data Engineer with experience in Big Data and Cloud environments to participate in the design and development of scalable data solutions on AWS, working on high technological impact projects for major clients.

The position is based in a city to be defined under a hybrid work model, working some days from home and others in the office where you can create interesting synergies with the rest of your team.
It is essential to reside in Spain and have a work permit in Spain.

Main functions:

Design and develop data architectures in AWS, including data lakes and data warehouses, using services such as S3, Glue, Redshift, EMR, and Athena.
Implement and maintain data pipelines in production using Big Data technologies such as Spark, Scala, Hive, Kafka, or Flink, ensuring efficiency, scalability, and data quality.
Develop data ingestion, transformation, and consumption processes integrating NoSQL databases and serverless services such as Lambda and Step Functions.
Collaborate in Agile environments, participating in continuous integration and deployment cycles using CI/CD tools and version control.

Responsibilities:

Define and implement technical data solutions aligned with the functional and non-functional requirements of the project.
Ensure the correct operation of data pipelines in production environments, applying monitoring and optimization best practices.
Participate in technical code and architecture reviews, contributing to the continuous improvement of data platforms.
Work in a coordinated manner with other technical profiles (architects, analysts, developers) within multidisciplinary teams.

Essential requirements:

University degree in Computer Engineering, Telecommunications Engineering, Mathematics, Physics, or other related technical engineering degrees.
Minimum 2 years of professional experience in production with Big Data technologies such as Spark, Scala, Hive, Kafka, or Flink.
Minimum 2 years of professional experience working with data services in AWS, including S3, Glue, Redshift, EMR, Athena, Lambda, and Step Functions.
Professional experience with NoSQL databases such as MongoDB, HBase, ElasticSearch, or Cassandra.
Experience working in Agile environments and using CI/CD tools such as Jira, Jenkins, Bamboo, Git, and Sonar.

Desirable requirements:

Additional professional experience in other cloud environments such as Azure.
Previous experience with data warehouse platforms such as Snowflake.
Technical certifications in AWS, Azure, or Big Data (Cloudera, Databricks, MongoDB, Kafka, or other equivalents).
Previous experience in technological projects for major clients.

At Accenture, a company recognized as a Great Place To Work®, we bet on a hybrid work model that, thanks to technology and our facilities, allows us to maintain the human connection essential for working with our teams and clients. A connection that allows us to maintain our culture of inclusion and diversity and be, according to Refinitiv, the most diverse company in the world.
Additionally, we offer other benefits such as:

Health, Life, and accident insurance
Medical service and wellness programs
Flexible remuneration program and stock purchase plan
Flexibility programs (hours, days off, vacations...)
Individualized training itinerary
Sustainability programs and Accenture Foundation
Employee diversity network
Other benefits: Bankinter Office with special conditions and profit sharing

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against for their differences. All employment decisions will be made regardless of age, race, creed, color, religion, sex, national origin, ancestry, disability, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship, or any other criteria protected by applicable law. Our rich diversity makes us more innovative, competitive, and creative, which helps us better serve our clients and communities.

View original advert (Spanish)

Accenture, reconocida como Great Place To Work®, una compañía líder mundial en servicios profesionales que ayuda a las principales empresas, administraciones públicas y otras organizaciones del mundo a desarrollar su core digital, optimizar sus operaciones, acelerar el crecimiento de sus ingresos y mejorar los servicios para los ciudadanos, creando valor tangible a velocidad y escala.

Buscamos incorporar un/a Data Engineer con experiencia en entornos Big Data y Cloud para participar en el diseño y desarrollo de soluciones de datos escalables sobre AWS, trabajando en proyectos de alto impacto tecnológico para grandes clientes.

El puesto se desempeña en ciudad a definir en un modelo de trabajo híbrido realizando algunos días desde tu casa y otros en la oficina donde podrás crear interesantes sinergias con el resto de tu equipo.
Es imprescindible residir en España y tener permiso laboral en España.

Funciones principales:

Diseñar y desarrollar arquitecturas de datos en AWS, incluyendo data lakes y data warehouses, utilizando servicios como S3, Glue, Redshift, EMR y Athena.
Implementar y mantener pipelines de datos en producción mediante tecnologías Big Data como Spark, Scala, Hive, Kafka o Flink, garantizando eficiencia, escalabilidad y calidad del dato.
Desarrollar procesos de ingesta, transformación y consumo de datos integrando bases de datos NoSQL y servicios serverless como Lambda y Step Functions.
Colaborar en entornos Agile, participando en ciclos de integración y despliegue continuo mediante herramientas de CI/CD y control de versiones.

Responsabilidades:

Definir e implementar soluciones técnicas de datos alineadas con los requisitos funcionales y no funcionales del proyecto.
Asegurar la correcta operación de los pipelines de datos en entornos productivos, aplicando buenas prácticas de monitorización y optimización.
Participar en revisiones técnicas de código y arquitectura, contribuyendo a la mejora continua de las plataformas de datos.
Trabajar de forma coordinada con otros perfiles técnicos (arquitectos, analistas, desarrolladores) dentro de equipos multidisciplinares.

Requisitos imprescindibles:

Grado universitario en Ingeniería Informática, Ingeniería de Telecomunicaciones, Matemáticas, Física u otras ingenierías técnicas relacionadas.
Mínimo 2 años de experiencia profesional en producción con tecnologías Big Data como Spark, Scala, Hive, Kafka o Flink.
Mínimo 2 años de experiencia profesional trabajando con servicios de datos en AWS, incluyendo S3, Glue, Redshift, EMR, Athena, Lambda y Step Functions.
Experiencia profesional con bases de datos NoSQL como MongoDB, HBase, ElasticSearch o Cassandra.
Experiencia trabajando en entornos Agile y utilizando herramientas de CI/CD como Jira, Jenkins, Bamboo, Git y Sonar.

Requisitos valorables:

Experiencia profesional adicional en otros entornos cloud como Azure.
Experiencia previa con plataformas de data warehouse como Snowflake.
Certificaciones técnicas en AWS, Azure o Big Data (Cloudera, Databricks, MongoDB, Kafka u otras equivalentes).
Experiencia previa en proyectos tecnológicos para grandes clientes.

En Accenture, compañía reconocida como Great Place To Work®, apostamos por un modelo híbrido de trabajo que, gracias a la tecnología y a nuestras instalaciones, nos permiten mantener la conexión humana esencial para trabajar con nuestros equipos y clientes. Una conexión que nos permite mantener nuestra cultura de inclusión y diversidad y ser, según Refinitiv, la empresa más diversa del mundo.
Además, te ofrecemos otros beneficios como:

Seguro médico, de Vida y accidentes
Servicio médico y programas de bienestar
Programa de retribución flexible y compra de acciones
Programas de flexibilidad (horaria, de días libres, vacaciones...)
Itinerario formativo individualizado
Programas de sostenibilidad y Fundación Accenture
Red de empleados por la diversidad
Otros beneficios: Oficina Bankinter con condiciones especiales y reparto de beneficios

About Accenture

Visit us atwww.accenture.com

Declaración de igualdad de oportunidades en el empleo

Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.