Senior Data Engineer
Role details
Job location
Tech stack
Job description
As a Senior Data Engineer, you'll sit at the forefront of this new platform. This isn't a maintenance role on an established system - you'll be deeply involved in shaping the product itself: the pipeline architecture agents build on, the semantic layer that gives data meaning, and the standards for what "agent-ready data" means.You'll build the infrastructure that lets agents autonomously create pipelines - ingesting, cleaning, and unifying data from a wide range of sources, then connecting it to a semantic model and ontology so it's fast, queryable, and meaningful for both AI agents and traditional BI workloads. What you'll do Build the pipeline infrastructure and primitives that agents use to autonomously ingest, clean, and merge data from diverse sourcesShape the semantic model and ontology layer that turns raw company data into agent-ready dataDesign and operate robust DAG-based orchestration for reliable, observable, agent-driven workflowsMake large volumes of data performant and accessible for agents and analytical/BI workloads alikeWork closely with product and AI engineering to define what agents need from data infrastructureHelp set the engineering standards and best practices as the team grows
Requirements
5+ years of data engineering experience, ideally including time at a fast-moving product companyStrong hands-on experience with modern ETL/ELT tooling such as dbt, Dagster, or similarA track record of building data pipelines that merge and reconcile data from multiple heterogeneous sourcesHigh proficiency in Python (and/or other relevant languages)Experience deploying and operating DAG orchestrators such as AirflowFamiliarity with a variety of storage systems - relational, object storage, warehouses, and beyondExperience making large datasets accessible to BI systems at scaleHands-on experience with columnar storage engines such as ClickHouse or DuckDB
Benefits & conditions
Bonus points Experience integrating with enterprise SaaS APIs (e.g. Salesforce, SAP) What we offer Compensation: £70,000 - £150,000, depending on experienceGenerous Stock OptionsA foundational role on a new product with real influence over architecture and directionA small, ambitious team building at the frontier of AI and data infrastructure