Forward Deployed Engineer

STRATOS Technologies

. Ensure client implementations are working successfully .

Posted 10/6/2026full-timeLondon • United KingdomJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering and analytics, with a strong focus on designing and implementing scalable generative AI workflows and complex data integration. Proficient in translating business requirements into effective data pipelines while collaborating with clients to achieve key outcomes.

Highest-signal resume keywords

Data EngineeringPySparkPythonSQL FundamentalsGenerative AI Workflows

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data IntegrationData PipelinesDashboarding ToolsAPI DevelopmentTypescript

Soft Skills

Client CollaborationProblem Solving

Tools & Technologies

Palantir AIPAirflowDBTDatabricksEnterprise Resource Planning

Industry Keywords

CRM SystemsStart-Up ExperienceTop-Tier Consultancy

Tech Stack

Tools & technologies

AirflowOraclePySparkPythonSQLTypeScript

About the role

Key responsibilities & impact

Ensure client implementations are working successfully
Solve customers’ hardest business challenges by adapting and deploying the STRATOS platform to their needs
Design and implement scalable generative AI workflows using platforms like Palantir AIP
Execute complex data integration using PySpark and other distributed technologies
Collaborate directly with clients to understand context, priorities, and key outcomes

Requirements

What you’ll need

Minimum 2-4 years of solid experience in data engineering or analytics
Experience at start-up companies and/or an excitement to experience first-hand the adventure that comes with a fast-scaling tech company, alternatively experience at a top-tier consultancy
Ability to translate complex and sometimes ambiguous business requirements into clean and maintainable data pipelines
Excellent knowledge of PySpark, Python and SQL fundamentals
Ability to get to grips with new technologies quickly
Experience in dashboarding tools, Typescript and API development preferred
Familiarity with Airflow, DBT, Databricks preferred
Experience working with Enterprise Resource Planning (e.g. Oracle, SAP) and CRM systems preferred

Benefits

Comp & perks

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
Work alongside former MBB consultants and Fortune 500 executives who will teach you directly
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