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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, SCOT Fulfillment Optimization - **Company:** Amazon.com, Inc. - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Amazon S3, Big Data, Code Review, Data Architecture, Data Definition Language, Information Engineering, Extract Transform Load (ETL), Data Systems, Query Languages, IBM InfoSphere DataStage, Apache Hadoop, Apache Hive, Python (Programming Language), Korn Shell, MultiDimensional EXpressions, Scala (Programming Language), Software Engineering, PL-SQL, SQL Databases, SQL Server Integration Services, Scripting, Apache Spark, Electronic Medical Records, Data Management, Physical Data Models, Data Pipelines - **Published:** July 1, 2026 - **Apply:** https://www.tecnoempleo.com/data-engineer-scot-fulfillment-optimization-amazon/python-sql/rf-f3a913b5b2713363a340 ## About the Role Experience in data engineering - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. ## Description We are looking for a Data Engineer to help us build that foundation. You will work alongside more senior Data Engineers, Software Development Engineers, and Applied Scientists to design, build, and operate the data pipelines, models, and warehouses that our products and analytics depend on. You will take well-defined requirements, build a solution, and deliver it on schedule. You will learn the team´s data architecture deeply, contribute to its evolution, and grow into an autonomous owner of significant pieces of it. This role is a great fit for someone who is excited about working with large-scale, complex data, who cares about getting the details right, and who wants to grow under the mentorship of an experienced data engineering team. Key job responsibilities Build and optimize physical data models and ETL pipelines for datasets that serve our products and analytics, using Amazon´s data platforms (Redshift, EMR, Spark, S3, Hive, etc.) - Take well-defined requirements from Data Scientists, Business Intelligence Engineers, and Software Development Engineers, and deliver tested, documented, and maintainable data solutions on schedule - Troubleshoot, root-cause, and resolve issues in existing datasets and pipelines, leaving them better and easier to maintain than you found them - Measure and improve dataset quality - completeness, freshness, correctness - and contribute to the team´s monitoring and SLA framework - Write secure, stable, testable, and well-documented code in SQL and Python (or Scala), and submit it for code review - Classify, store, and handle data in accordance with Amazon´s security and privacy policies - Participate in team design, scoping, and prioritization discussions; learn the business context behind the team´s data architecture and the products it supports - Collaborate with peers across Fulfillment Optimization and partner teams to integrate data sources and unblock downstream consumers A day in the life You will spend your day writing SQL and Python, designing tables and pipelines, reviewing teammates´ code, and pairing with data scientists and engineers to understand what they need from the data. You will start with well-scoped pieces of work - a new dataset, an optimization to an existing pipeline, an investigation into a data quality issue - and grow your scope as you build context. You will be supported by a team that values mentorship, code review, and writing things down. About the team The Fulfillment Optimization organization owns and operates the artificial intelligence, optimization, and simulation systems that plan and run Amazon´s outbound fulfillment network. The organization is spread across the United States and Europe and is multi-disciplinary - Research Science, Applied Science, Business Intelligence, Product Management, Data Engineering, and Software Development. Our team is a newly formed horizontal team responsible for the data foundations that all Fulfillment Optimization products and analytics depend on. Come join us as we build that foundation from the ground up., Nunca debes compartir tus datos bancarios ni fotos de tus documentos al solicitar un empleo. Si tienes alguna duda sobre un proceso de selección En esta oferta serás redirigido a la pagina web de la empresa. Completa el formulario en su web. * Barcelona - España Ubicación * Big Data Funciones * Jornada completa Jornada * 3 años Experiencia * Indefinido Tipo contrato * python SQL ETL Scala ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Hate organising your photos? 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