Senior Forward Deployed Engineer

Coforge; City Of London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Coforge is seeking a Senior Forward Deployed Engineer to embed with client teams, understand business problems, and deliver production-grade data tooling. The role blends data engineering, backend work, and client-facing responsibilities in a senior/lead capacity.

You will move fluidly between data pipelines, optimization, and dashboards, translating evolving needs into features and driving delivery across European and North American time zones.

Qualifications

• Hands-on data engineering and client delivery experience.
• Strong Python for data and backend work with Pandas.

Responsibilities

• Own client relationships and drive delivery across projects.
• Translate stakeholder needs into concrete features and deliverables.
• Lead delivery teams and set engineering standards.
• Build tooling and dashboards to enable data-driven decisions.
• Collaborate with cross-functional teams across time zones.

Skills

Data engineering

Data pipelines

Python

Pandas

Databases

AWS

Docker

CI/CD

Education

Advanced degree in quantitative field

Tools

PostgreSQL

NoSQL

Oracle

Pyomo

Scikit-Learn

Plotly Dash

Docker

AWS

RabbitMQ

Job description

Role : Senior Forward Deployed Engineer

Required Skills :

data engineering, Data pipelines, Python, Pandas, Databases, AWS, Docker, CI/CD

Location : London, UK

Type : Permanent

Job Description

• 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
• Sets engineering standards (testing, deployment hygiene, code quality)
• 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