Remote job
Senior Data Engineer
Job details
About this role
Role overview
A Senior Data Engineer is needed to join an AI-native data team shaping the data landscape for an organization becoming AI-first. The role blends traditional data engineering with machine learning work, including pipeline design, warehouse orchestration, and productionizing ML models. It is a fully remote, globally distributed position with significant cross-functional collaboration.
Responsibilities
- Design and build pipelines that ingest data from source systems into the warehouse - Manage warehouse components and orchestrate the transformation layer - Build, productionize, and monitor ML models, including feature pipelines, training, serving, and inference - Lead architectural enhancements to optimize data warehouse performance, scalability, and efficiency - Strengthen CI/CD processes with a focus on data quality testing - Drive continuous improvement in product quality, security, and performance
Requirements
- 5+ years of data engineering or ML experience - Strong data modeling skills with several years of hands-on dbt experience - Experience deploying, operating, and evolving data pipelines in the cloud (batch and streaming) - Knowledge of Infrastructure as Code tools such as Terraform - Strong communication skills and a collaborative, knowledge-sharing mindset - Passion for clean code and writing automated tests to maintain codebase quality
Nice to have
- Experience building monitoring infrastructure for data pipelines and applying DataOps best practices - Ownership mindset suited to a small, high-impact team - Familiarity with orchestrating AI agents and intelligent processes
Benefits and work setup
- Fully remote with global hiring across multiple markets - Location-based, transparent compensation ranges published for several regions - Flexible time off and home office / working-space support - Annual in-person gatherings, team offsites, and a connection budget for local meetups - Locally tailored healthcare plus a mental wellbeing program - Retirement and pension plans (often with company contributions) and life/disability insurance where relevant - Annual learning allowance (up to $/€/£1,000) for self-driven courses, certifications, or books - A flexible lifestyle spending account launching in 2026, scaling to an annual global allowance over time