Solutions Engineer

Salary: £56,000 - 96,000 per year

Requirements:

• Proven track record in a customer-facing environment such as Solutions Engineering, Technical Consulting or Sales Engineering
• Comfortable leading technical workshops for customer stakeholders
• Strong commercial instinct and ability to articulate the business impact of technical solutions
• Able to support the sales team in identifying and navigating the technical path to a closed-won result
• Practical understanding of modern AI ecosystems, including LLMs, AI Agents and retrieval-based architectures
• Interest in how data is consumed by AI-driven workflows and emerging technologies
• Hands-on experience with SQL and Python
• Experience developing demonstrations, proofs of concept and technical validations
• Experience working with APIs, modern authentication methods and cloud-based data architectures
• Experience with platforms such as Snowflake, Databricks or similar technologies is advantageous
• Solid understanding of modern data platforms such as Snowflake, Databricks, BigQuery or Redshift
• Understanding of transforming raw data into a usable asset
• Likely experience in Solutions Engineering, Sales Engineering, Technical Consulting or Data Engineering with a strong commercial instinct

Responsibilities:

• Lead technical discovery to understand customer objectives, existing technology landscapes and how data supports critical business workflows
• Translate customer requirements into practical solution approaches and identify how ICIS data can create measurable business value
• Act as the technical lead throughout the sales process, applying structured sales and qualification methodologies
• Identify stakeholders, business drivers, technical requirements and architectural considerations
• Support technical validation, proof-of-value activities and remove barriers to achieving a successful technical win
• Collaborate with customers as they navigate the emerging AI landscape and design critical integration points where ICIS data provides a reliable foundation for AI-driven decision-engines
• Collaborate with customers, implementation partners and System Integrators to optimise how they consume ICIS data across data platforms, workflows and pipelines
• Share best practices that help customers accelerate adoption and maximise the value of their investment
• Act as a key contributor to the internal feedback loop by relaying market trends and product gaps to Product and Marketing teams
• Work alongside Account Managers as a trusted technical advisor throughout the customer lifecycle
• Help customers evaluate, integrate and maximise the value of ICIS data
• Support discovery, solution design and technical validation activities across complex sales opportunities
• Architect how ICIS market intelligence integrates into customer data, analytics and AI ecosystems
• Document customer architectures, data flows and requirements
• Guide customers towards solutions that maximise the value of ICIS intelligence within their existing platforms and emerging AI initiatives
• Provide market feedback that helps shape products, delivery capabilities and future roadmap

Technologies:

• AI
• AI Agents
• Redshift
• Architect
• BigQuery
• Cloud
• Databricks
• Support
• Marketing
• Python
• SQL
• Snowflake
• Security

More:

We are ICIS, a business focused on optimizing the worlds resources by delivering transparency, forecasting, pricing benchmarks and analytical foresight across commodities, energy and chemical markets. We help companies make strategic, sustainable decisions and provide comprehensive market intelligence through data, reports, forecasts, news and supply and demand insight. This is a full-time Solutions Engineer role based in London Wall with a hybrid working pattern of a minimum of 2 days per week in the office. You will join a growing Solutions Engineering team and work closely with Account Managers as a trusted technical advisor across the customer lifecycle. We offer a range of benefits including generous holiday allowance, private medical benefits, wellbeing programmes, pension, share options, season ticket loan, electric vehicle scheme, parental leave, learning and development resources, employee discounts and volunteer opportunities.

last updated 36 week of 2026