Senior Data Engineer

Webologix Ltd/ INC; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Webologix Ltd/ INC is seeking a senior Computational Scientist/Forward Deployed Engineer to sit with client teams and drive data-driven solutions from data pipelines to dashboards. You will translate evolving stakeholder needs into features, own client relationships, and guide delivery with engineering depth.

The role blends hands-on software/data engineering with client delivery, requiring strong Python, production deployment skills, and the ability to lead a delivery team across time zones.

Qualifications

• Senior/lead level with ownership of client relationships and ability to scope ambiguous problems independently.
• Able to guide junior engineers and lead delivery teams on complex initiatives.
• Strong Python for data and backend work (Pandas, Pyomo, Scikit-Learn).
• Build simulation, forecasting, and KPI/analytics frameworks to model outcomes.
• Data engineering: ingestion and transformation pipelines for time-series/data.
• Interactive dashboards for decision support (Plotly Dash, Bokeh).
• Cloud and deployment: AWS, Docker, CI/CD; messaging with RabbitMQ a plus.
• Databases: PostgreSQL; exposure to NoSQL (Cassandra) and Oracle.
• Ability to collaborate across European and North American time zones; English essential; Spanish a plus.

Responsibilities

• Own client relationships and translate evolving stakeholder needs into features.
• Scope loosely defined problems into deliverable workstreams with minimal direction.
• Lead delivery teams and mentor more junior engineers.
• Develop and deploy data pipelines, simulations, and dashboards to production.
• Collaborate with non-technical stakeholders to frame problems and communicate results.

Skills

Python

Pandas

Pyomo

Scikit-Learn

Data pipelines

Dashboards

AWS

Docker

CI/CD

PostgreSQL

NoSQL

Oracle

RabbitMQ

Client management

Leadership

Stakeholder mgmt

Education

Advanced degree in a quantitative field

Tools

Plotly Dash

Bokeh

AWS

Docker

CI/CD

RabbitMQ

PostgreSQL

NoSQL

Oracle

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
• 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