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# Data Engineer

- **Company:** Fairness & Inclusion Allianz Technology
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Query Performance, Artificial Intelligence, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Database, Continuous Delivery, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Systems Integration, Tools for Reporting, Data Pipelines, Databricks
- **Published:** November 6, 2026
- **Apply:** https://www.adzuna.es/details/5954143448

## About the Role

* 3-5 years of proven experience in data engineering, data analysis, and manipulation
 * Degree-level education or above (preferred)
 * Knowledge and capability of Microsoft Azure toolset and Databricks
 * Knowledge of market-leading 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 working in a fast-paced environment whilst maintaining accuracy and meeting tight deadlines
 * Willingness to grow into mentoring responsibilities and support peers in technical best practices
 * Basic AI knowledge and genuine interest in AI-driven solutions

## Description

About the Job We are looking for a Data Engineer to join our analytics team. In this role, you will be a valued member of a cross-functional team responsible for developing and operationalizing analytics solutions for our customers. You will contribute to building a centralized capability for integrating and automating data across business areas, while supporting the adoption of analytics tools that deliver real business value through impactful use cases. What You Do

 * Design and develop scalable data pipelines and data models (ETL/ELT) from various sources
 * Develop and maintain cloud-based data warehouses optimized for analytical workloads
 * Implement integration between on-premises and cloud-based data systems
 * Optimize query performance and resource utilization
 * Set up data governance frameworks ensuring regulatory compliance (e.g., GDPR)
 * Develop data quality monitoring and validation processes across pipelines
 * Collaborate with business SMEs and cross-functional teams to scope and deliver use cases