P⚡We are your bEnergy Technology Partner /b. We electrify, automate, and digitalize every industry, business, and home, driving efficiency and sustainability for all. /p pAt Schneider Electric, our values – IMPACT (Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork) – are the foundation of everything we do. Becoming an Impact Maker means turning sustainability ambitions into actions at the intersection of automation, electrification, and digitization. /p pAre you ready to lead the digital transformation to create a more sustainable world? /ppIf you are up to challenge your creativity and make an impact, we are excited to welcome you! /p pbr/ppbSchneider Digital /b is the digital department of Schneider Electric, leading the digital transformation in the company by giving support globally to our internal teams and our clients. Schneider Digital consists of 6 Digital Hubs worldwide which are strategically located to ensure a 24/7 support across the company (France, China, India, USA, Mexico and Spain). Our Digital Hub in Barcelona is formed by +450 employees working in strategic projects and different roles such as Data, Cybersecurity, ERP, Cloud, Infrastructures, IT Project Management or Digital Marketing. /p pbr/ppBarcelona Digital Technology Center is part of Schneider Digital: enabling Schneider-Electric digital transformation by delivering Business Requirements. /p pWe are looking for a skilled bData Integration Data Warehousing Engineer /bto design, build, and manage scalable data pipelines and enterprise data warehouse solutions using AWS Glue, AWS Lambda and Informatica. /ppThis role will focus on enabling reliable data ingestion, transformation, modelling, and delivery across the organization while ensuring performance, quality, governance, and scalability. /ppThe ideal candidate should have strong experience in ETL/ELT frameworks, data warehousing design, advanced SQL development, and cloud-based data engineering. /p pbr/ppbKey Responsibilities: /b /p pData Integration Pipeline Development /pulliDesign, develop, and maintain scalable data pipelines using Python, AWS Glue, and Informatica PowerCenter /liliBuild robust ETL/ELT workflows for ingesting structured data from multiple sources (databases, APIs, files, SaaS systems) /liliDevelop reusable ingestion frameworks to support data migration from on-prem to cloud /li /ulpData Warehousing Modelling /pulliDevelop and maintain dimensional models (fact/dimension tables, SCD handling) /liliOptimize data models for analytics and reporting performance /li /ulpCloud Data Engineering /pulliDevelop and manage AWS Glue jobs using PySpark / Python /liliBuild and orchestrate workflows across AWS ecosystem (Redshift, Lambda) /liliEnsure efficient compute and storage utilization for performance and cost optimization /li /ulpMonitoring Operations /pulliMonitor ETL pipelines and job performance /liliTroubleshoot data failures and performance bottlenecks /liliImplement logging, alerting, and recovery mechanisms /li /ulpData Engineering Processing /pulliBuild scalable data processing solutions using Spark and distributed computing techniques /liliPerform data profiling, reverse engineering, and ad-hoc analysis /liliSupport downstream systems by delivering clean, reliable, and optimised datasets /li /ul pbr/ppbWhat qualifications will make you successful for this role? /b /p pExperience Qualifications /pulliBachelor’s or Master’s degree in Engineering, Computer Science, or related field /liliTypically 5 years of experience in data engineering, ETL, or data warehousing roles /liliExperience working in enterprise-scale data environments /liliStrong hands-on experience in bPython / PySpark /b /liliStrong proficiency in bSQL /b (querying, optimization, transformations) /liliExperience in building and maintaining data pipelines (ETL/ELT) /liliExperience with bAWS services (AWS Glue, AWS Lambda, S3) /b /liliVersion control using GIT /li /ulpbr/ppGood to Have /pulliHands-on experience with Informatica PowerCenter /liliExperience with workflow orchestration tools (Airflow / Step Functions) /liliStrong understanding of data warehousing concepts (EDW, ODS, staging layers) /liliKnowledge of CI/CD pipelines for data engineering /liliExposure to cloud-based data lake architectures /liliKnowledge of BI tools like Oracle Analytics Cloud and ThoughtSpot /li /ulpbr/ppKey Competencies /pulliStrong analytical and problem-solving skills /liliDeep understanding of data structures and relationships /liliAttention to data quality and accuracy /liliAbility to work in cross-functional teams /liliOwnership mindset for delivery and operations /li /ulpbr/ppbr/ppbWhat will you get? /b /p pWe adapt to you: /pp With our flexible schedule, you'll have the freedom to adjust your work hours to accommodate your personal needs and responsibilities. /pp We know how great it is to work from home. With our hybrid work plan, you can enjoy working from the comfort of your home. /pp Need more time to relax and disconnect? With our Holy Pack, you can purchase additional vacation days to recharge when you need it most. /pp Celebrate holidays your way! With Floating Holidays, you can exchange holidays for other days that better suit your plans and personal preferences. /p