Data Engineer at Jimdo.com

We are Jimdo, a profitable, remote-first company founded in 2007 by three school friends who built a website builder in a Northern German farmhouse. Today we help solopreneurs and micro-businesses succeed with an AI-powered platform that combines design tools, business applications, and data-driven guidance. Our team of more than 220 colleagues from over 50 nationalities works across 15 countries and has supported the creation of more than 36 million websites worldwide.

Key outcomes

• Design, build, and maintain scalable data pipelines, transformations, and reporting models using dbt, SQL, Python, and Snowflake.
• Develop and optimize data ingestion workflows, API integrations, and change-data-capture pipelines while applying established engineering frameworks and best practices.
• Implement data quality checks, automated testing, monitoring, and observability mechanisms that ensure reliable and trustworthy data products.
• Create analytics-ready data models, including reporting marts and dimensional models that enable clear business insights.
• Integrate AI-powered development tools such as GitHub Copilot and Claude to raise productivity, code quality, and documentation standards.
• Partner with analysts, BI teams, and business stakeholders to define metrics, clarify business logic, and deliver data solutions that support decision-making.
• Contribute to data governance, compliance, and platform reliability by adhering to data contracts, security standards, and engineering best practices.

Requirements

• Four or more years of experience in data engineering, analytics engineering, or a closely related field.
• Strong command of SQL, including complex joins, aggregations, common table expressions, and window functions.
• Hands-on experience with dbt for data transformation, testing, and documentation.
• Practical experience working with cloud data warehouses, preferably Snowflake.
• Proven ability to build data workflows and automation using Python.
• Familiarity with orchestration tools such as Airflow and with Git-based development workflows.
• Strong problem-solving skills, attention to detail, and a collaborative approach to working with cross-functional teams.
• Professional working proficiency in English.

Preferred qualifications

• Experience with AWS services.
• Exposure to data governance, data contracts, and compliance frameworks.
• Experience using AI coding assistants and integrating AI into engineering workflows.
• Familiarity with modern observability and monitoring practices for data platforms.

Compensation

We provide a competitive benefits package that includes annual compensation reviews, a remote office set-up bonus, an employee assistance program, and up to three free Jimdo websites for personal or professional use that you keep permanently. Additional perks include access to LinkedIn Learning, technical e-learning platforms, Hack Weeks, Deep Work Thursdays, and support for conference attendance.

How to apply

We welcome applications from candidates who meet the requirements outlined above. Please submit your application through our careers portal so we can review your experience and discuss how your background aligns with this opportunity.