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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Accenture - **Location:** Madrid, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Applications Architecture, JIRA, Microsoft Azure, Big Data, Computer Programming, Databases, Continuous Integration, Data Architecture, Information Engineering, 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 - **Published:** September 16, 2026 - **Apply:** https://www.buscojobs.com.es/data-engineer-en-madrid-ID-370596214 ## About the Role 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, IaC) 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. ## 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 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 solutions 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 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 technologiesWorking 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 developmentWorking in highly skilled teams advising and supporting our clients on data processing and data managementWorking in partnership with global clients and large public/private sector organizationsDesign and implement the data architecture for our clients based on high performance data management technologiesDesign the integration with legacy data sourcesDefine the standards and best practices to develop applications using new architecturesUsing good communication skills to understand and deliver client requirementsBring your experience and ideas to innovative engineering, design and strategyContribute to our internal networks and special interest groupsRecommend ways to improve data reliability, efficiency and qualityCollaborate with data architects, modelers and IT team members on project goalsBuild high-performance algorithms, prototypes, and proof of conceptsRequired skillsAdvanced programming skills in Python and PySpark, eventually including RSQL and NoSQL based technologiesGood knowledge on Big Data technologies, e.g., Spark, HDFS and ParquetGood management with REST APIsExperience 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 consideredAny exposure to CI/CD (DevOps, Git, Jira, IaC) is a plusAny exposure to ML, AI, DL with focus on MLOps (MLFlow, Prefect, TFX...) is a plusExperience on Graph Data Bases (Neo4j, etc.), GenAI, Data Modelling & Architecture, Palantir, Snowflake is a plusEducation: 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.BenefitsHealth, life, and accident insuranceMedical services and wellness programsFlexible compensation and stock purchase plansFlexibility programs (working hours, time off, vacation)Personalized training pathsSustainability programs and Accenture Foundation initiativesEmployee diversity networksAdditional perks: Bankinter office with special conditions and profit sharingAbout 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 at Declaración de igualdad de oportunidades en el empleoCreemos 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.#J-*****-Ljbffr ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Git for Code 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