Experteer Overview

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As a Data Engineer on our analytics team, you design scalable data pipelines and models to enable analytics-driven decision making. You’ll build cloud-based data warehouses and integrate on-premises and cloud data, while ensuring data quality and governance. You’ll collaborate with cross-functional teams to deliver impactful use cases and help operationalize analytics solutions for customers. This role offers exposure to Azure and Databricks and the chance to shape data-driven capabilities at scale.

Compensaciones / Ventajas
• Design and develop scalable ETL/ELT data pipelines and data models from diverse sources
• Build and maintain cloud-based data warehouses optimized for analytics
• Implement integration between on-premises and cloud-based data systems
• Optimize query performance and resource utilization
• Establish data governance frameworks including regulatory compliance (e.g., GDPR)




• Develop data quality monitoring and validation across pipelines
• Collaborate with business SMEs and cross-functional teams to scope and deliver use cases

Responsabilidades
• 3-5 years of data engineering, data analysis, and data manipulation experience
• Degree-level education or above (preferred)
• Knowledge of Microsoft Azure toolset and Databricks
• Familiarity with BI and analytics tools, processes, and outputs
• Experience contributing to data-centric or technical projects
• Strong knowledge of data xqbhyrx security, quality, and accuracy tools and processes
• Experience delivering in continuous delivery automated tool chains
• Experience in fast-paced environments with accuracy and deadlines
• Willingness to mentor peers in technical best practices
• Basic AI knowledge and interest in AI-driven solutions

Requisitos principales
• hybrid work model
• bonus scheme
• pension
• employee shares program
• learning resources and development
• flexible working hours

📌 Data Engineer (m/f/d) (Barcelona)
🏢 Allianz
📍 Barcelona