This is a fully remote position, open to applicants in Europe.

• Take full responsibility for the data stack from start to finish: ingestion → transformation → modeling → serving → monitoring

• Develop and sustain ETL/ELT pipelines utilizing APIs, webhooks, and operational systems

• Create robust data models that can adapt to changing and imperfect source systems

• Establish monitoring and alerting mechanisms for data quality, freshness, and pipeline failures

• Ensure high reliability and visibility throughout the data layer

• Drive enhancements, migrations, and infrastructure-related decisions

• Work collaboratively with engineering leadership on architectural matters, including contemporary data access patterns

• Extensive experience in building and managing production-grade data systems

• Strong foundational knowledge in data modeling and pipeline architecture

• Capability to work independently and take charge of a specific domain

• Exceptional attention to detail and a strong commitment to data accuracy

• Excellent communication skills in asynchronous, distributed settings

• Comfortable navigating fast-paced and uncertain environments

• Nice to Have: Experience in developing internal tools or reusable data systems

• Familiarity with modern or experimental data patterns (e.g., real-time or agent-driven data workflows)

• Interest in closely collaborating with product and infrastructure layers

• Significant ownership and autonomy over the data domain

• Opportunity to design and scale systems from their initial stages

• Exposure to cutting-edge data and AI-driven workflows

• Remote-first work environment with a compact, high-performing team

Data Engineer

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