20 publicaciones de empleo destacadas de digital analytics engineer en getafe, md (¡Están contratando!)

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Kairos Digital Solutions —Madrid, Madrid provincia
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AXON-Networks —Madrid, Madrid provincia
- Trabajo híbrido
- Español
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- Oracle
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UST Global —Madrid, Madrid provincia
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zooplus SE —Madrid, Madrid provincia
- Jornada completa
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9d
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AXON-Networks —Madrid, Madrid provincia
- Español
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Data Engineer AWS
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- Teletrabajo
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EPAM Systems, Inc. —Madrid, Madrid provincia
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Nexthink —Madrid, Madrid provincia
- Jornada completa
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Solicitud rápida
5d

Quiero recibir la alerta de empleo más reciente de digital analytics engineer en getafe, md

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Data Engineer

Accenture -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

Jira
CI/CD
Azure
Doctorado
Informática
Big data
DevOps
Spark
R
Logística
NoSQL
Git
Inglés
Máster
SQL
AWS
Grado
Neo4j
Splunk
REST
ETL
Cloud
Python
Hadoop

Descripción completa 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:

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

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Required skills:

Advanced programming skills in Python and PySpark, eventually including R

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

Language: Fluency in English is required.

We also offer benefits such as:

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