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# (Senior) Data/Analytics Engineer in Hamburg

- **Company:** plusYOU GmbH
- **Location:** Hamburg, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Data Analysis, Business Logic, Cloud Database, Collaborative Software, Continuous Integration, Information Engineering, Data Infrastructure, Data Integration, Data Transformation, Data Systems, Standard Sql, Web Analytics, Git, Kubernetes, Google Bigquery
- **Published:** July 18, 2026
- **Apply:** https://www.adzuna.de/details/5796227676

## About the Role

* 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 collaborative software engineering practices to deliver high-quality data solutions
 * Nice to have: You have hands-on experience with dbt for developing and managing version-controlled data transformations and bring valuable domain knowledge from eCommerce, retail tech, or ad tech, including web analytics, conversion funnels, and performance metrics

## Description

* 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


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