Product Engineer at STRATOS Technologies Ltd.
May no longer be active — verify on the employer site
At a glance
- Company
- STRATOS Technologies Ltd.
- Location
- London, United Kingdom
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this STRATOS Technologies Ltd. job
- 🏢 This is STRATOS Technologies Ltd.'s only job here right now
- 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
- 💡 No salary shown. Ask STRATOS Technologies Ltd. if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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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.
Key skills
- Python — in 1200 other listings on The Stack
- PySpark — in 42 other listings on The Stack
- SQL — in 545 other listings on The Stack
- Palantir Foundry — not in any other listing on The Stack
- Generative AI — in 58 other listings on The Stack
- Data Modeling — in 184 other listings on The Stack
- API Design — in 192 other listings on The Stack
- Typescript — in 467 other listings on The Stack
- Backend Development
- Distributed Technologies
- Data Engineering
- Analytics Engineering
On The Stack (as of 2026-11-05)
- This is STRATOS Technologies Ltd.'s only listing on The Stack.
- 214 visa-sponsored jobs in the United Kingdom on The Stack, posted in the last 60 days.
Frequently asked questions about STRATOS Technologies Ltd.
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.