# Product Engineer at STRATOS Technologies Ltd.

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> Responsibilities: - Work with Forward Deployed Engineers and

- **Company:** STRATOS Technologies Ltd. (https://jobs.trythestack.co/companies/stratos-technologies-ltd)
- **Location:** London, United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, PySpark, SQL, Palantir Foundry, Generative AI, Data Modeling, API Design, Typescript, Backend Development, Distributed Technologies, Data Engineering, Analytics Engineering
- **Posted by employer:** 2026-01-14
- **Added to The Stack:** 2026-05-21
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://join.com/companies/stratos/16190528-product-engineer (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/product-engineer-stratos-technologies-ltd

## About the role

Responsibilities:
- Work with Forward Deployed Engineers and product managers to identify common customer use cases and surface reusable platform abstractions.
- Translate field learnings into configurable, production-ready features and scalable data models within Palantir Foundry (or equivalent platforms).
- Build and maintain data pipelines and transformations using PySpark, Python, and SQL; ensure reliability and observability.
- Design generative AI workflows and integrate embedded intelligence to accelerate user workflows and decision-making.
- Create clear APIs, configuration layers, and documentation to enable repeatable deployments across customers and industries.
- Rapidly prototype, validate with customers, and productize solutions that generalize beyond bespoke implementations.

Requirements:
- 2–6 years of experience in data engineering, analytics engineering, or product engineering with strong Python and PySpark skills.
- Solid SQL proficiency and experience building scalable data models and pipelines on platforms like Palantir Foundry, Databricks, or Snowflake.
- Experience designing APIs, configuration-driven features, and working with enterprise data sources (ERP, CRM, etc.).
- Practical understanding of generative AI workflows and how to embed them into product features.
- Strong problem-solving, communication, and customer-facing skills; comfortable handling ambiguous requirements and delivering pragmatic solutions.
- Familiarity with TypeScript, observability, and distributed systems is a plus.

## Responsibilities

The role involves translating customer use cases into configurable, reusable platform functionality and scalable data models within Palantir Foundry. You will develop generative AI workflows and maintain robust data integration capabilities using PySpark to support the STRATOS platform.

## Requirements

Candidates need 2-6 years of experience in data or product engineering with strong fundamentals in Python, PySpark, and SQL. Experience with platforms like Databricks, Snowflake, or Palantir Foundry and the ability to solve ambiguous business problems are highly preferred.

## FAQ

- **Is this Product Engineer role still open?** It was posted on 2026-01-14. Listings more than 30 days old may no longer be active, so check STRATOS Technologies Ltd.'s site before applying.
- **Does STRATOS Technologies Ltd. offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on STRATOS Technologies Ltd.'s site.
- **Where is this role located?** The listing gives the location as London, United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, PySpark, SQL, Palantir Foundry, Generative AI, Data Modeling, API Design, Typescript, Backend Development, Distributed Technologies, Data Engineering, Analytics Engineering.

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