Experteer Overview 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 casesResponsabilidades
- 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 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 solutionsRequisitos 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