Mid Data Engineer

Job description

About Jimdo We exist to unleash the power of the self-employed - helping solopreneurs and micro-businesses thrive by doing what they're passionate about and removing the complexity of building lasting, successful businesses. Jimdo started in 2007 when three school friends built a website builder in a Northern German farmhouse to help everyone build a presence online. Today, we're a profitable, remote-first company with 220+ people from 50+ nationalities working across 15+ countries. We've helped build over 36 million websites to get online across the world. We're more than just a website builder. We're an AI-powered platform that helps self-employed people actually run and build successful businesses — from getting found online, winning customers and running their business with a peace of mind by knowing exactly what to do next to move forward. At the heart of Jimdo is a strong belief in personalized, data-driven guidance. Our platform combines design, business tools, and an AI-powered core that turns real customer data into clear insights and next steps helping our customers focus on what moves their business forward. Role Overview : As a Data Engineer, you'll be a hands-on contributor within our Data Platform team, building and maintaining the pipelines, models, and integrations that drive data-informed decision-making across Jimdo. Reporting to the Data Platform Manager, you'll own well-defined projects end-to-end—from implementation and testing through monitoring and optimization—while collaborating closely with senior engineers, analysts, and stakeholders. This role offers the opportunity to work with a modern cloud data stack including Snowflake, dbt, Airflow, AWS, and AI-powered engineering tools. Your impact: Build and maintain scalable data pipelines and transformations using dbt, SQL, Python, and Snowflake. Develop and optimize data ingestion workflows, API integrations, and CDC pipelines using established engineering frameworks and best practices. Implement data quality checks, testing, monitoring, and observability mechanisms to ensure reliable and trustworthy data products. Design and maintain the foundational data layers, delivering clean, schema-enforced, contract-compliant, and analytics-ready upstream models for domain teams to leverage. Leverage AI-powered development tools such as GitHub Copilot and Claude to improve productivity, code qu…