Forward Deployed Engineer

Stratos Technologies; Greater London; Hybrid; GBP 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Equity through stock options

Private healthcare

Pension scheme

25 days annual leave + holidays

Work from abroad (up to 4 weeks/year)

Hybrid office policy

Visa sponsorship available

Social and environmental commitment

Zusammenfassung

STRATOS is seeking a data engineer to transform messy datasets from Europe’s top industrial clients into production-ready pipelines used by executives and sales teams. You will own deployments from discovery through production, building data models that merge ERP, CRM and market data with PySpark, Python and SQL.

You will ship AI agents and workflows on Palantir Foundry and AIP, collaborating with client leaders to decide what to build and how to prioritise impact.

Qualifikationen

• 0–4 years' experience in data engineering, software engineering or analytics.
• Write strong Python, PySpark and SQL.
• Turn a vague business problem into clean, maintainable pipelines.
• Pick up new tools fast and want real responsibility early.
• Startup or top-tier consultancy backgrounds welcome.

Aufgaben

• Own client deployments end to end, from first conversation with a client's team through to production.
• Build data pipelines in PySpark, Python and SQL that bring ERP, CRM and market data together into one model.
• Ship AI agents and workflows on Palantir Foundry and AIP that commercial teams use every day.
• Work directly with client leaders to understand what matters to them, then decide what to build and what not to.
• Feed what you learn back into the core product, so each deployment makes the next one faster.

Kenntnisse

Python

PySpark

SQL

Data engineering

Analytics

Ausbildung

BSc/Tech degree in a relevant field

Tools

Palantir Foundry

AIP

Airflow

dbt

Databricks

Jobbeschreibung

About us

STRATOS builds the commercial digital twin that large industrial companies run on. We work with global B2B companies to synchronize strategy and execution and ensure commercial success is driven by potential, not gut feel or old data. STRATOS is a category-defining, rapidly growing startup, profitable and majority founder-owned with our Series A still ahead of us, funded by high-profile investors (e.g., Accel) and trusted by 15 global industrial leaders and Fortune 500 customers. Our software integrates complex datasets into a unified solution, combining deep data integration, best-in-class workflows, and cutting-edge generative AI.

The role

Take messy data from some of Europe's biggest industrial companies and ship it into production systems that their leaders and sales teams use every day. There are no slide decks and no hand-offs: you scope it, build it, ship it and see it change how a business sells.

What you'll do

• Own client deployments end to end, from the first conversation with a client's team through to production

• Build data pipelines in PySpark, Python and SQL that bring ERP, CRM and market data together into one model

• Ship AI agents and workflows on Palantir Foundry and AIP that commercial teams use every day

• Work directly with client leaders to understand what matters to them, then decide what to build and what not to

• Feed what you learn back into the core product, so each deployment makes the next one faster

Your first 90 days

• Month 1: Get to know the platform and the team, and ship your first pipeline to production.

• Month 2: Own a workstream on a live client deployment.

• Month 3: Take the lead with the client's team on what you're building.

You might be a fit if you

• Have 0–4 years' experience in data engineering, software engineering or analytics

• Write strong Python, PySpark and SQL

• Can turn a vague business problem into clean, maintainable pipelines

• Pick up new tools fast and want real responsibility early

• Would rather build at a fast-growing company than wait your turn at a big one. Startup or top-tier consultancy backgrounds are both welcome

Nice to have

• TypeScript, API development or dashboarding tools

• Airflow, dbt or Databricks

• Experience with ERP (SAP, Oracle) or CRM data

• Palantir Foundry or AIP

Why engineers join us

• Big clients, small team. Some of the biggest names in industry, served by a team of 40. Your work reaches their leadership in weeks, not years.

• Own the stack. We fully control our stack and choose our tools. No committees, no tickets passed between five teams, no egos.

• Built to last. Profitable, founder-led and majority founder-owned, backed by high-profile investors (e.g., Accel), with our Series A still ahead of us. That means growth on our terms and real upside for early joiners.

• Learn from people who've done it. Founders who have run a $1B business, plus people from Palantir, McKinsey and BCG, all in the same room.

• In person, on purpose. Three days a week together in Farringdon. Fast feedback, fast decisions and fast shipping.

What we offer

• Equity through our stock option programme, so you share in the long-term success and growth of the company

• A highly competitive salary

• Direct access to Fortune 500 executives from your first months, at a level most people wait a decade for

• Work alongside former MBB consultants and Fortune 500 executives who will teach you directly — our team is small enough that this happens in person, not through a training curriculum

• Private healthcare

• Pension scheme

• 25 days of annual leave, plus bank holidays

• Work from abroad — up to four weeks a year, and up to two weeks at a time

• Hybrid office policy, with visa sponsorship available

• A company committed to social and environmental responsibility — we pledge to be a net-zero CO₂ company and donate 1% of our revenue to social causes

Practicalities

• London-based, 3 days a week in our Farringdon office