Senior, Data Engineer - Barcelona

As a Data Integration & Data Warehousing Engineer, you will design and run scalable data pipelines and enterprise data warehouses in a cloud-enabled environment to fuel analytics and decision-making.You’ll collaborate with global teams to ensure data quality, governance, and performance across the organization.The role supports Schneider Digital’s mission to drive digital transformation, enabling sustainable outcomes through data.You will work with AWS, Informatica, and modern data tooling to deliver reliable datasets and scalable solutions.flexible schedule and hybrid workvacation and personal time policies (Holy Pack, floating holidays)global family leave policylife insurance and flexible remuneration planStock ownership programDesign, develop, and maintain scalable data pipelines using Python, AWS Glue, and Informatica PowerCenterCreate robust ETL/ELT workflows to ingest data from databases, APIs, files, and SaaS systemsBuild reusable ingestion frameworks for on-prem to cloud data migrationsDevelop and maintain dimensional models and optimize data structures for analyticsDevelop and manage AWS Glue jobs with PySpark/Python; orchestrate workflows across AWS (Redshift, Lambda)Monitor ETL pipelines, troubleshoot data issues, and implement logging and alertingPerform data profiling, reverse engineering, and ad-hoc analysis; deliver clean, reliabledatasetsSupport downstream systems with optimized data delivery and performanceBachelor’s or Master’s degree in Engineering, Computer Science, or related fieldTypically 5 years of experience in data engineering, ETL, or data warehousingStrong hands-on experience in Python / PySparkProficiency in SQL and data modeling for analyticsExperience building and maintaining data pipelines (ETL/ELT)Experience with AWS services (AWS Glue, AWS Lambda, S3)Version control using GITStrong analytical and problem-solving abilitiesAttention to data quality and accuracyStrong collaboration across cross-functional teamsPythonPySparkSQLSenior, Data Engineer - barcelona- barcelona, catalunya, es

performanceBachelor’s or Master’s degree in Engineering, Computer Science, or related fieldTypically 5 years of experience in data engineering, ETL, or data warehousingStrong hands-on experience in Python / PySparkProficiency in SQL and data modeling for analyticsExperience building and maintaining data pipelines (ETL/ELT)Experience with AWS services (AWS Glue, AWS Lambda, S3)Version control using GITStrong analytical and problem-solving abilitiesAttention to data quality and accuracyStrong collaboration across cross-functional teamsPythonPySparkSQLSenior, Data Engineer - barcelona

• barcelona, catalunya, es