g2i - Data Engineer

• Strong backend or full-stack engineers with substantial data-platform experience may also be considered. • 5+ years of professional data engineering, backend engineering, or closely related software engineering experience. • Experience building a data platform, data warehouse, or major pipeline infrastructure from scratch. • Meaningful experience working within a product company or owning an internal product over time. • Strong production-level programming skills, particularly in Python or another relevant backend language. • Hands-on experience with modern ETL/ELT frameworks such as dbt, Dagster, or comparable tools. • Experience deploying and operating DAG-based orchestrators such as Airflow. • A track record of combining and reconciling data from multiple heterogeneous sources. • Experience working across different storage systems, including relational databases, object storage, and analytical warehouses. • Experience making large datasets available to BI or analytical systems at scale. • Familiarity with columnar and analytical storage engines such as ClickHouse, DuckDB, or similar technologies. • Strong understanding of data modelling, system design, performance, reliability, and observability. • Ability to make independent architectural decisions and clearly explain the technical and product tradeoffs involved. • A builder mindset and the drive to operate effectively within a fast-moving startup. • Willingness to use AI-assisted development tools thoughtfully while maintaining strong independent coding and engineering fundamentals. • Experience designing semantic layers, metadata systems, knowledge graphs, or ontologies. • Experience building infrastructure used by AI agents or machine learning products. • Experience integrating with enterprise platforms such as Salesforce or SAP. • Experience designing autonomous or metadata-driven ingestion and transformation workflows. • Previous experience as an early or foundational engineer. • Experience scaling a data platform as its customers, sources, and workloads grew. • WORKING AT MILO • Milo is a small, ambitious team working at the intersection of AI, data infrastructure, and business analytics. This is an opportunity to have meaningful influence over the architecture and direction of a new platform instead of inheriting a long-established system. • The team works collaboratively from its London office, where engineers can make decisions quickly and solve problems together. The environment is fast-paced and ownership-heavy, with high expectations for technical judgment, initiative, and execution. • LOCATION AND RELOCATION • Candidates already based in London or elsewhere in the United Kingdom are preferred. • Milo is also open to exceptional candidates worldwide who are committed to relocating to London. International hires may begin remotely during an initial three-month evaluation period, followed by visa sponsorship and relocation support if both sides decide to proceed. • Once based in London, team members are expected to work from the office approximately three to four days per week. • WHAT MILO OFFERS • Compensation of up to £150,000 per year, depending on experience. • Generous stock options. • Visa sponsorship and relocation support for qualifying international candidates. • A foundational role with direct influence over architecture and product direction.