Descripción
Python + SQL? Let's Talk! (Senior) Data/Analytics Engineer (m/w/d) in Hamburg Passion. Entrepreneurship. Family spirit. Since its founding, our partner company has grown into one of the leading firms when it comes to inspiring both the German B2B and B2C markets with its solutions and products. Today, more than 1,000 employees are dedicated to the success and continuous growth of this tech company. What you’ll be working on - You design, build, and continuously enhance scalable analytics solutions in Google BigQuery, creating reliable data models and business metrics for reporting and performance analysis - You establish automated data quality standards, validation processes, and schema monitoring to ensure the accuracy and reliability of analytical datasets and dashboards - You modernize legacy data transformations by migrating complex business logic into modular, maintainable analytics pipelines and decoupled data environments - You collaborate closely with Data Engineering teams to define clean data models, improve data integration, and connect shared business domains across the platform - You drive analytics engineering best practices by defining development standards, promoting reusable solutions, and ensuring high-quality, maintainable data workflows What you bring to the table - You bring several years of experience in analytics and data engineering and have a strong understanding of modern data platform architectures - You have extensive expertise in designing scalable data models, developing high-performance transformations, and applying semantic modeling principles - You are highly proficient in SQL and have hands-on experience working with cloud-based data warehouse technologies such as Google BigQuery - You are familiar with modern orchestration frameworks, data quality concepts, and automated validation processes to ensure reliable and trustworthy data products - You work confidently with Git-based development workflows, CI/CD pipelines, and collaborati