Senior Forward Deployed Engineer

Coforge; Greater London; Hybrid; GBP 120,000 - 150,000; Full time

Job summary

Coforge is seeking a Senior Forward Deployed Engineer in London to blend hands-on software and data engineering with direct client delivery. You will own relationships, scope complex problems, and guide junior engineers while building tooling for production.

The role emphasizes Python development, data pipelines, dashboards, and cloud deployment with AWS, Docker, and CI/CD across environments.

Qualifications

• Senior profile with hands-on software/data engineering experience.
• 12-16 years of experience in data engineering and client delivery.
• Strong Python for data/backend work and dashboarding.
• Experience with AWS, Docker, and CI/CD across environments.
• Ability to own client relationships and lead delivery teams.

Responsibilities

• Own client relationships and lead cadence with stakeholders.
• Design and implement data pipelines, models, and dashboards.
• Translate evolving needs into deliverable features for production.
• Collaborate across time zones to deliver in multi-region setups.

Skills

Data Engineering

Data pipelines

Python

Pandas

Databases

AWS

Docker

CI/CD

Education

Advanced degree in quantitative field

Tools

Plotly Dash

Pyomo

Scikit-Learn

Job description

Required Skills: Data Engineering, Data pipelines, Python, Pandas, Databases, AWS, Docker, CI/CD

Location : London, UK (Hybrid)

Type : Permanent

We are at Coforge hiring for Senior Forward Deployed Engineer with hands-on experience software/data engineering, Data pipelines, Python, Pandas, Databases, AWS, Docker, CI/CD

Job Description

• Must have 12-16 years of experience
• We've had strong results with a profile that blends hands-on software/data engineering with direct client delivery - someone who embeds with a client team, understands their commercial problem, and builds and ships the tooling to solve it. We want more of this, at a senior / lead level: someone who can own the client relationship, scope ambiguous problems independently, and guide more junior engineers, not just execute a defined spec.
• A computational scientist / forward deployed engineer who can move fluidly between data pipelines, backend logic, optimization/simulation, and client-facing dashboards - and deploy it all to production. The defining trait is the combination of genuine engineering depth with the maturity to sit in front of clients, translate evolving stakeholder needs into features, and drive delivery.
• Strong Python for data and backend work - Pandas plus optimization/scientific libraries (e.g. Pyomo, Scikit-Learn)
• Building simulation, forecasting, and KPI/analytics frameworks to model financial or operational outcomes
• Data engineering: ingestion and transformation pipelines for time-series / market data, schema design, automated validation/testing (e.g. pytest)
• Interactive dashboarding (e.g. Plotly Dash, Bokeh, or similar) for decision support
• Cloud and deployment: AWS, Docker, CI/CD across dev/QA/prod; message queues (e.g. RabbitMQ) a plus
• Databases: PostgreSQL, plus exposure to NoSQL (e.g. Cassandra) and Oracle
• Owns client relationships and runs the cadence (regular working sessions, requirements gathering, alignment)
• Scopes loosely defined problems into deliverable workstreams with minimal direction
• Can technically lead on a delivery team
• Working with non-technical stakeholders, problem framing mindset.
• Advanced degree in a quantitative field (statistics, analytics, computer science, engineering or similar)
• Able to collaborate across European and North American time zones
• English essential; Spanish a strong plus