Jimdo.Com

Mid Data Engineer

Germany, GermanyRemoteFull timePosted 12 days ago
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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 an...