Solutions Engineer

Solutions Engineer – Data Platforms & Analytics Location: London (The Wall) – Hybrid (min. 2 days per week in-office) About our Business : At ICIS, our mission is to optimize the world's resources. We help companies make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts, a dedicated news channel and supply and demand data. You can learn more about ICIS at the link below. The commodities industries that power the global economy impact every person on the planet, every single day. From the chemicals used to purify our water to the fertilisers that ensure global food security, the global supply chain relies on the intelligence we provide. At ICIS, our mission is to deliver clarity, however and wherever customers need it. Energy and chemical markets move fast, and volatility is constant. We provide the transparent forecasting, pricing benchmarks, and analytical foresight that allow our customers to plan confidently and create value. We are currently pioneering AI-driven commodity intelligence with Ask ICIS, our specialist GenAI solution. As the industry moves toward automated workflows, we are committed to learning alongside our customers. We want to ensure our intelligence is the reliable foundation for the next generation of AI Agents and decision-engines, evolving our delivery to match the architectures our customers are heading towards. About the team: Part of a growing Solutions Engineering team, you will work alongside Account Managers as a trusted technical advisor throughout the customer lifecycle. You will help customers evaluate, integrate and maximise the value of ICIS data, supporting discovery, solution design and technical validation activities across complex sales opportunities. About the role: The Journey: Your First 90 Days 30-days: You will build a strong understanding of the ICIS data portfolio, data channels and customer use cases. You will shadow discovery calls, customer workshops and technical discussions to understand how organisations consume and operationalise market intelligence within their business workflows. 90-days: You will be actively supporting sales opportunities, leading technical discovery sessions, qualifying customer requirements and helping customers design approaches for integrating ICIS data into their analytics, reporting and AI initiatives. This role is suited to an inquisitive technical practitioner who enjoys solving customer problems and translating business requirements into technical solutions. As a Solutions Engineer, you will architect how ICIS market intelligence integrates into customer data, analytics and AI ecosystems. Working alongside Account Managers, you will lead technical discovery, develop a deep understanding of customer technology environments, and design approaches that enable ICIS data to power business workflows and decision-making. You will serve as the technical lead throughout the sales cycle, documenting customer architectures, data flows and requirements, while guiding customers towards solutions that maximise the value of ICIS intelligence within their existing platforms and emerging AI initiatives. You will also act as a key link between customers and internal teams, providing market feedback that helps shape our products, delivery capabilities and future roadmap. Responsibilities: What You’ll Do Partner on Technical Strategy: 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. Navigate the Sales Lifecycle: Act as the technical lead throughout the sales process, applying structured sales and qualification methodologies to 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. Architect for the Customer AI Landscape: Collaborate with customers as they navigate the emerging AI landscape. You will identify and design the critical integration points where ICIS data provides a reliable foundation for their AI-driven decision-engines. Enable the Ecosystem: 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. Inform Product Strategy: Act as a key contributor to our internal feedback loop, relaying market trends and product gaps to our Product and Marketing teams to shape future strategy. Requirements: Who You Are Customer-Facing Authority: You have a proven track record in customer-facing environment (e.g., Solutions Engineering, Technical Consulting, or Sales Engineering). You are comfortable leading technical workshops for customer stakeholders. Commercially Minded : You possess a strong commercial instinct and the ability to articulate the business impact of technical solutions. You are a proactive partner to the sales team, helping to identify and navigate the technical path to a "closed-won" result. AI-Forward & Inquisitive: You have a practical understanding of modern AI ecosystems and are comfortable discussing concepts such as LLMs, AI Agents, and retrieval-based architectures with customers. You are interested in how data is consumed by AI-driven workflows and enjoy exploring emerging technologies, without needing to be a specialist in model development. Technical Credibility: You have hands-on experience with SQL and Python and are comfortable developing demonstrations, proofs of concept and technical validations. You have experience working with APIs, modern authentication methods and cloud-based data architectures. Experience with platforms such as Snowflake, Databricks or similar technologies would be advantageous. Data Platform Fluency: You have a solid understanding of modern Data Platforms (such as Snowflake, Databricks, BigQuery, or Redshift) and the process of transforming raw data into a usable asset. Your Background We value curiosity, adaptability and a customer-first mindset above all else. You likely have experience in Solutions Engineering, Sales Engineering, Technical Consulting or Data Engineering with a strong commercial instinct. If you don't meet every requirement but believe you can contribute to the team, we'd still encourage you to apply. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life Assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. 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