platform engineer for a regenerative economy

Great Yellow is building an operating system for a regenerative economy. The company helps businesses, investors, and land managers make regenerative land-use investable and scalable through landscape recovery projects, natural capital valuation models, and a platform for coordinating land-use programmes.

• Design and own data pipelines and data architecture for the customer-facing platform and internal teams;
• Build and maintain robust ETL workflows across diverse data sources;
• Unify and normalize data in a relational store with versioning and lineage;
• Poll external APIs and land data as Hive-partitioned Parquet datasets;
• Store document blobs and metadata using a document-management approach;
• Choose appropriate data patterns for different source types;
• Design right-sized infrastructure for operational and analytical layers;
• Pair with the Senior Software Developer on the customer-facing TypeScript / React product;
• Write tested, production-grade code and improve software design standards;
• Work with subject-matter experts to understand data before modeling it;
• Add monitoring, hooks, and KPIs to track pipeline performance and degradation;
• Use AI-assisted development for planning, refactoring, reviewing, bug detection, and security checks;
• Own work-streams end-to-end from design documentation through production and iteration;
• Influence the technology stack and engineering standards as the team grows.

• Hands-on experience writing, testing, and shipping production software through code review, CI, and deployment;
• Experience designing, building, and maintaining production data pipelines across heterogeneous sources;
• Strong SQL and data-modelling skills;
• Practical ELT/ETL experience with dbt or similar tools;
• Ability to reason about operational and analytical layers, data lake and warehouse patterns, versioning, lineage, and right-sized infrastructure;
• Ability to own a work-stream and drive it autonomously;
• Typically 5+ years of relevant experience, with scope and ownership valued over the exact number of years;
• Comfortable moving between data engineering and software engineering;
• Ability to translate business goals and subject-matter expertise into technical solutions;
• Ability to explain technical trade-offs clearly to non-engineering audiences;
• Within commuting distance of London;
• Able to work 1–2 days a week from the central office;
• Nice to have: TypeScript/JavaScript and React, machine-learning pipelines in production, Retrieval-Augmented Generation, vector or graph databases, Databricks, dbt, DLT, Unity Catalog or similar, Cloudflare ecosystem, serverless or edge-first architectures, event-driven architectures, message brokers or queues, fintech or climate domains, data-heavy or decision-support domains, interest in sustainability, nature recovery, and conservation finance.

• Work 1–2 days a week from the central office;
• Meaningful work in finance and ecological restoration;
• Flexible environment focused on collaboration, autonomy, and growth.