Senior Data Engineer

Milo
Burnham, United Kingdom
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Burnham, United Kingdom

Tech stack

Artificial Intelligence
Airflow
Big Data
Information Engineering
ETL
Python
Vertica
Data Pipelines

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

About the company

Milo is an AI analyst that gives teams answers from their data in minutes. No more waiting days for a dashboard or chasing down the one person who knows where the numbers live - Milo connects to your company's data and delivers insight on demand. Building the agent was just the beginning. We're now moving one level deeper: a data platform built by agents, for agents. On our platform, agents create pipelines that automatically clean a company's data and make it agent-ready by connecting it to a semantic model and an ontology. The result: clean, well-defined, meaning-rich data that any agent - ours or anyone else's - can reliably reason over. We believe this is the next foundational layer of the AI stack, and we're building it now.

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