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Staff Python Engineer

Pubblicato il 11-10-2026 - Arch Systems in Bologna

Staff Python Engineer

Possiede le competenze, l'esperienza e la determinazione necessarie per avere successo in questo ruolo? Lo scopra qui sotto.
Independent Contractor Engagement | Remote — Eastern Europe | Data Engineering

This is an independent contractor engagement. This is not an offer of employment.

CONTRACTOR ENGAGEMENT NOTICE: This opportunity is structured as an independent contractor (B2B) engagement. The selected contractor will be responsible for all applicable taxes, social contributions, and statutory obligations in their country of residence. No employment relationship, employee benefits, equity awards, paid leave, or statutory employment protections are created by this engagement. Contractors must hold or obtain the legal right to provide services as an independent contractor in their jurisdiction.

About the Role
Arch Systems is building the future of manufacturing intelligence. Our ArchFX Cloud platform processes millions of IoT data points daily from advanced factory machines worldwide, helping leading manufacturers optimize efficiency, sustainability,



and growth.
We are seeking an experienced Senior Software Engineer to join our data engineering pod as an independent contractor. You'll work with data collected from factory machines and devices — processing, transforming, and preparing it for analytics and visualization. You'll manage and optimize the data pipelines that feed our analytics platform, collaborating closely with our cloud and data science teams to deliver robust, scalable data solutions.

Scope of Engagement
As an independent contractor, you will provide the following services:

-
- Design and deliver backend features in Python for large-scale enterprise SaaS.
- Contribute to technical excellence through testing, CI/CD, and secure design.
- Provide technical guidance and architectural input across backend initiatives.
- Design data models and pipelines that turn high-volume sensor data streams into clean, structured time-series e

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