Data Engineer

Accenture
Madrid, Spain
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Applications Architecture JIRA Microsoft Azure Big Data Computer Programming Databases Continuous Integration Data Architecture Information Engineering
+24 more
Data Governance Data Integrity Extract Transform Load (ETL) DevOps Hadoop Distributed File System Python (Programming Language) Neo4j NoSQL Cloudera SQL Databases Private Cloud Environment Parquet Data Processing Google Cloud Data Ingestion Snowflake Apache Spark Git Pyspark Information Technology Data Management Machine Learning Operations Restful APIs Splunk

Job description

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 JobWe 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 TeamPart 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.LocationThe 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 tasksWorking 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.Use 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 skillsAdvanced 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 also be 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 & Architecture, 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.BenefitsHealth, 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.#J-*****-Ljbffr

Requirements

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 also be 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 & Architecture, 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.

Benefits & conditions

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. #J-*****-Ljbffr

About the company

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. Location 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. Use 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.

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