Frontline Data Engineer: Deploy AI Pipelines for Clients

Stratos Technologies; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

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

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

PySpark

SQL

Data engineering

Analytics

Education

BSc/Tech degree in a relevant field

Tools

Palantir Foundry

AIP

Airflow

dbt

Databricks

Job description

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.