Enterprise Data Deployment Engineer

Atmospheric AI Limited; Greater London; Hybrid; GBP 90.000 - 140.000; Vollzeit

Zusammenfassung

Atmospheric AI Limited builds a platform to standardise ERP and procurement data, revealing value in enterprise spend for UK and global customers. You will own data mapping, data pipelines, and MVP deployments, shaping how modules unlock value for category managers and procurement teams, with a hands-on, product-led approach.

You’ll collaborate with customers in live bootcamps, translate messy data into a canonical model, and document mappings so repeat deployments are faster.

Qualifikationen

• Experience shipping production systems for enterprise customers.
• Hands-on experience with SAP/Coupa/Ariba systems.
• Ability to ship MVPs quickly as a generalist engineer.
• Skill in productising platform features vs core development.
• Strong stakeholder presence and discovery facilitation.

Aufgaben

• Define how ERP and procurement data map to our model and document field-by-field correspondences.
• Wire the extraction pipelines across integration tiers from flat file to read/write.
• Deliver first value live to category managers with measurable impact.
• Build on the platform with MVPs, views, and account-specific features.
• Lead live co-build days with client data alongside our deployment lead.
• Create templates to capture repeatable steps for faster future deployments.

Kenntnisse

Enterprise deployments

ERP integration

Python MVP delivery

Platform vs core

Customer discovery

Tools

Python

FastAPI

PostgreSQL

Dagster

AWS

Jobbeschreibung

Atmospheric AI Limited builds a platform to standardise ERP and procurement data, revealing value in enterprise spend for UK and global customers. You will own data mapping, data pipelines, and MVP deployments, shaping how modules unlock value for category managers and procurement teams, with a hands-on, product-led approach.

You’ll collaborate with customers in live bootcamps, translate messy data into a canonical model, and document mappings so repeat deployments are faster.