(Senior) Data Engineer - Azure | Berlin, Berlin, Germany | HybridWe're looking for a skilled data engineer to join a dynamic team at a leading financial services provider known for its innovative payment and account management solutions. This role offers the chance to significantly impact data-driven decision-making and analytical capabilities across the organization.The Role• Design and implement scalable ETL/ELT pipelines in a lakehouse architecture using Databricks, Azure Data Factory, and Azure Data Lake.• Create analytical data models and structures optimized for performance and usability.• Drive best practices in data engineering, including CI/CD with Azure DevOps, Git workflows, testing, and monitoring.• Integrate workflows and orchestration using Airflow and other tools.• Troubleshoot, monitor, and improve data quality, pipeline reliability, and job performance across distributed systems.• Work with stakeholders to understand data requirements and deliver scalable, maintainable solutions.What You'll Need• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.• 5+ years of experience in data engineering, with a focus on cloud-native platforms.• Hands-on expertise with Azure Data Factory, Databricks, Azure Data Lake, SQL, and Python.• Familiarity with DevOps workflows (e.g., Git, Azure DevOps) and orchestration tools like Airflow.• Solid understanding of data warehousing, data modeling, and modern data architecture.• Strong communication skills and the ability to work cross-functionally.What's On Offer• The opportunity to work with cutting-edge Azure data technologies.• A hybrid working model offering flexibility.• A role with significant impact on data infrastructure and decision-making.• Collaboration with diverse product, analytics, and engineering teams.Apply via Haystack today!