> Markdown version of [/jobs/ext/3863992-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3863992-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** WhyBrilliant GmbH - **Location:** Berlin, Germany (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Cloud Database, Cloud Engineering, Continuous Integration, Data Architecture, Data Infrastructure, Data Transformation, Data Warehousing, Python (Programming Language), Operational Databases, SQL Databases, Data Analytics, Machine Learning Operations, Software Version Control, Data Pipelines, Automation Anywhere - **Published:** October 22, 2026 - **Apply:** https://www.adzuna.de/details/5937435424 ## About the Role * 5+ years building and maintaining production data warehouses and cloud infrastructure * Advanced practitioner in SQL, Python, and dbt transformation workflows * Proven track record in client-facing roles explaining complex technical trade-offs * Strong background in data modeling, CI/CD, and modern analytics engineering * Business fluent in German (C1+) with professional working proficiency in English * Pragmatic engineer with a degree in CS or equivalent practical experience ## Description We are expanding our Data & Analytics practice to help organizations turn complex data challenges into robust, scalable production platforms. As our technical footprint grows, we need senior engineers who can bridge the gap between deep cloud engineering and strategic client delivery. Without you, critical data architecture and AI workflows can't scale to meet client demand. What you'll do Full technical ownership of modern analytics engineering, cloud architecture, and data pipelines across client engagements. * Architect and deploy scalable production data warehouse and cloud infrastructure * Build robust data transformation workflows and pipelines using Python, SQL, and dbt * Implement and optimize AI/ML workflows and cross-system data integrations * Establish modern analytics engineering best practices, CI/CD pipelines, and version control standards * Interface directly with client stakeholders to explain technical trade-offs and turn business needs into production systems