Senior Forward Deployed Engineer

DCV Technologies; City Of London; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

DCV Technologies is seeking a Senior Forward Deployed Engineer to embed with client teams in London, delivering end-to-end data and software tooling. You will own client relationships, scope complex problems, and guide junior engineers, combining engineering depth with client-facing delivery.

Responsibilities include building simulations, dashboards, and production pipelines using Python (Pandas, Pyomo, Scikit-Learn), AWS, Docker, and CI/CD across environments.

Qualifications

• Advanced degree in a quantitative field (statistics, analytics, computer science, engineering or similar).
• Strong Python for data and backend work with Pandas and optimization libraries (Pyomo, Scikit-Learn).
• Experience moving between data pipelines, backend logic, simulations, and client-facing dashboards.

Responsibilities

• Own client relationships and embed with client teams to translate needs into features.
• Lead delivery teams and scope ambiguous problems independently.
• Develop simulation, forecasting, and KPI frameworks to model outcomes.
• Build and deploy data pipelines and dashboards to production with AWS/Docker/CI-CD.

Skills

Python

Data pipelines

dashboards

Cloud deployment

PostgreSQL

NoSQL Cassandra

Oracle

AWS

Docker

CI/CD

Pyomo

Scikit-Learn

Plotly Dash

Bokeh

Education

Advanced degree in quantitative field

Tools

AWS

Docker

CI/CD

RabbitMQ

PostgreSQL

NoSQL

Oracle

Plotly Dash

Bokeh

Pyomo

Job description

Position: Senior Forward Deployed Engineer
Location: London, UK (2-3 days /week onsite)
Permanent position

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