Data Engineer

Accenture España; Barcelona; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health, life, and accident insurance

Medical services and wellness programs

Flexible compensation and stock plans

Flexible working hours and vacation

Personalized training paths

Sustainability programs and Accenture…

Descripción de la vacante

Accenture España is seeking a driven Data Engineer/Data Scientist to join a hybrid team based in Madrid or Barcelona. You will work on data architectures, ingestion, governance, and high-performance data solutions for top clients across industries.

You will collaborate with data scientists, engineers, and business partners to design scalable data models and modern architectures, while benefiting from Accenture’s training and certification opportunities to stay at the cutting edge of technology.

Formación

• Advanced programming skills in Python and PySpark, eventually including R.
• SQL and NoSQL based technologies.
• Good knowledge on Big Data technologies, e.g., Spark, HDFS and Parquet.
• Good management with REST APIs.
• Experience on Public Cloud Technologies like AWS, Azure, GCP, etc., or Private Cloud Technologies like Palantir, Splunk, Cloudera, etc.
• Hands-on experience on Snowflake will be also considered.
• Any exposure to CI/CD (DevOps, GiT, Jira, IaaC) is a plus.
• Any exposure to ML, AI, DL with focus on MLOps (MLFlow, Prefect, TFX…) is a plus.
• Experience on: Graph Data Bases (Neo4j, etc.), GenAI, Data Modelling & Arquitecture, Palantir, Snowflake is a plus.

Responsabilidades

• Working on data engineering tasks including data ingestion, data quality, ETL processes, to design and implement modern, scalable data solutions using a range of new and highly performant technologies.
• Working on the development of data model and efficient data architecture schemas, from the definition of data governance policies to the availability of data sets for business use case development.
• Working in highly skilled teams advising and supporting our clients on data processing and data management.
• Working in partnership with global clients and large public/private sector organizations.
• Design and implement the data architecture for our clients based on high performance data management technologies.
• Design the integration with legacy data sources.
• Define the standards and best practices to develop applications using new architectures.
• Using good communication skills to understand and deliver client requirements.
• Bring your experience and ideas to innovative engineering, design and strategy.
• Contribute to our internal networks and special interest groups.
• Recommend ways to improve data reliability, efficiency and quality.
• Collaborate with data architects, modelers and IT team members on project goals.
• Build high-performance algorithms, prototypes, and proof of concepts

Conocimientos

Python

PySpark

R

SQL

NoSQL

Spark

HDFS

Parquet

REST APIs

AWS

Azure

GCP

CI/CD

MLOps

Graph Databases

GenAI

Educación

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Mathematics, or related technical field

Herramientas

Snowflake

Palantir

Splunk

Cloudera

Jira

Git

IaC (Terraform)

Descripción del empleo

If you are ready to lead the total reinvention of the company through technology and data, you have an opportunity to join the Accenture team and change the future of our clients and society.

You will have the opportunity of being part of a highly specialized team, working for our top clients in the evolution of their core systems and the implementation of new digital architectures. As part of the team, you will be working on new data architectures, and you will have plenty of opportunities to upskill and access training and certification processes for a wide range of technologies.

About The Job

We are looking for passionate, curious and driven team players who are ready to ignite ideas, push boundaries and drive innovation in the area in between Data Engineering and Data Science.

At Accenture you’ll work on innovative projects and develop your career, collaborating with the best teams in the world. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.

About The Team

Part of Accenture Strategy and Consulting, we help our clients grow their business in entirely new ways. Artificial Intelligence and Analytics enable our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships.

The team has been at the forefront in helping clients from around the globe and across industries under the umbrella of intelligent operations for the last 18 years. We develop cutting-edge assets and solutions to reduce costs and improve supply chain and industrial processes, such as optimization of stock levels, demand planning and forecasting, automated warranty solutions, and predictive asset maintenance.

Our team is composed of over 180 Data Scientists and Engineers with specialized background in logistics and industrial processes, including more than 20% PhD’s in the areas of Mathematics, Computer Science, Physics or Statistics. All that knowledge, combined with Accenture’s business experience, fosters an environment that allows us to quickly react to changing business conditions and provide tailored solution for our client’s needs.

The position is based in Madrid or Barcelona in a hybrid work model, combining remote work with in-office collaboration to foster strong team synergies. It is essential to reside in Spain and have legal work authorization.

Main tasks

• Working on data engineering tasks including data ingestion, data quality, ETL processes, to design and implement modern, scalable data solutions using a range of new and highly performant technologies
• Working on the development of data model and efficient data architecture schemas, from the definition of data governance policies to the availability of data sets for business use case development
• Working in highly skilled teams advising and supporting our clients on data processing and data management
• Working in partnership with global clients and large public/private sector organizations
• Design and implement the data architecture for our clients based on high performance data management technologies
• Design the integration with legacy data sources
• Define the standards and best practices to develop applications using new architectures
• Using good communication skills to understand and deliver client requirements
• Bring your experience and ideas to innovative engineering, design and strategy
• Contribute to our internal networks and special interest groups
• Recommend ways to improve data reliability, efficiency and quality
• Collaborate with data architects, modelers and IT team members on project goals
• Build high-performance algorithms, prototypes, and proof of concepts

Required skills

• Advanced programming skills in Python and PySpark, eventually including R
• SQL and NoSQL based technologies
• Good knowledge on Big Data technologies, e.g., Spark, HDFS and Parquet
• Good management with REST APIs
• Experience on Public Cloud Technologies like AWS, Azure, GCP, etc., or Private Cloud Technologies like Palantir, Splunk, Cloudera, etc.
• Hands-on experience on Snowflake will be also considered
• Any exposure to CI/CD (DevOps, GiT, Jira, IaaC) is a plus
• Any exposure to ML, AI, DL with focus on MLOps (MLFlow, Prefect, TFX…) is a plus
• Experience on: Graph Data Bases (Neo4j, etc.), GenAI, Data Modelling & Arquitecture, Palantir, Snowflake is a plus

Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Mathematics, or related technical field.

Language: Fluency in English is required.

At Accenture, recognized as a Great Place To Work®, we embrace a hybrid work model that leverages technology and our facilities to maintain essential human connection with our teams and clients. This connection supports our culture of inclusion and diversity, making us, according to Refinitiv, the most diverse company in the world.

We also offer benefits such as:

Benefits

• 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
• Sustainability programs and Accenture Foundation initiatives
• Employee diversity networks
• Additional perks: Bankinter office with special conditions and profit sharing