Data Engineer ll - barcelona

Overview

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In this role, you will support migrating Secure Power’s data assets and transformation logic to Intel DS Next, Schneider Electric’s enterprise data lake. You’ll assess current SQL and Alteryx workflows, rebuild and optimize data transformations, and design scalable pipelines to ensure continuity of reporting. You’ll collaborate with business stakeholders and platform teams to deliver trusted data assets that enable informed decision-making. This position offers a path to shape the Secure Power analytics layer on IDS Next and contribute to a major modernization effort.

Compensaciones / Beneficios

• Flexible schedule
• Floating holidays
• Sabbatical pack (up to 2 months unpaid)
• Wellbeing platform Wellwo access
• Gympass AJ network
• Life and health insurance

Responsabilidades

• Migrate data assets and transformation logic to IDS Next
• Assess SQL and Alteryx workflows and rebuild data transformations
• Design scalable data pipelines and ensure data quality
• Validate data quality and support transition of analytical datasets
• Collaborate with stakeholders, data engineers, and platform teams
• Deliver trusted data assets to support business decisions
• Contribute to shaping the Secure Power analytical layer on IDS Next

Requisitos principales

• Degree in Business Information Systems or Business Analytics
• 3 to 5 years of experience with SQL, Alteryx, Tableau or similar tools
• Strong SQL expertise for developing and maintaining complex transformations
• Experience with Alteryx or similar ETL tools xkdbapo
• Fundamentals of data engineering: data modeling, relational databases, data integration, testing, monitoring, and data quality
• Analytics experience translating business requirements into scalable solutions
• Cloud/AWS exposure is a strong plus
• Documentation and supportability focus to maintain evolving platforms

• Ownership
• Curiosity
• Problem solving
• SQL development, optimization, and troubleshooting
• Alteryx or similar ETL tools
• Data modeling and relational databases