Data Engineer

## About the role 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. ## Responsibilities - 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 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 analytics-ready data models, including reporting marts and dimensional models that support business insights. - Leverage AI-powered development tools such as GitHub Copilot and Claude to improve productivity, code quality, and documentation. - Collaborate with analysts, BI teams, and stakeholders to define metrics, clarify business logic, and deliver impactful data solutions. - Contribute to data governance, compliance, and platform reliability by following data contracts, security standards, and engineering best practices. ## What we offer - A remote-first company with 220+ people from 50+ nationalities working across 15+ countries. - A profitable, mission-driven environment focused on empowering self-employed individuals and micro-businesses. - Modern cloud data stack including Snowflake, dbt, Airflow, AWS, and AI-powered engineering tools. - Collaborative and cross-functional teams working on impactful projects. - Opportunities to contribute to data governance, compliance, and platform reliability. - Access to AI-powered development tools such as GitHub Copilot and Claude. ## What you bring - 4+ years of experience in Data Engineering, Analytics Engineering, or a related field. - Strong SQL skills, including complex joins, aggregations, CTEs, and window functions. - Hands-on experience with dbt for data transformation, testing, and documentation. - Practical experience with cloud data warehousing and data pipeline technologies. - Strong understanding of data modeling, ETL processes, and data quality assurance. - Ability to work independently and collaboratively in a fast-paced, remote-first environment. - Passion for building scalable, reliable, and maintainable data systems. - Experience with data governance, compliance, and security standards. - Familiarity with AI-powered development tools and their integration into engineering workflows.