Forward Deployed Data & Integration Engineer

WE MAKE AI REAL Siili is at the forefront of AI-powered digital development. Here, AI isn’t just a buzzword – it’s embedded in how we design, build, and scale solutions together with our clients. We are implementing our AI-centric strategy by focusing on three key areas: Staying on the cutting edge of technical innovation from Generative AI and agentic systems to scalable AI platforms, while continuously developing our competencies. Transforming how software is built, reinventing value chains and commercial models through AI-assisted and AI-native development. Strengthening our ability to envision impactful and ethical AI solutions, ensuring that technology delivers measurable business value and is used responsibly. At Siili, we bring humans, data, and AI together in meaningful ways. We help our customers turn ambitious ideas into production-ready AI solutions that are reliable, scalable, and aligned with real business goals. Our work spans from enterprise-grade AI platforms and MLOps foundations to LLM-powered applications embedded into core processes. While we are technology-agnostic, our everyday tools include Azure, AWS, Databricks, Snowflake, and modern AI platforms and frameworks. What will you do as a Forward Deployed Data & Integration Engineer at Siili? As a Forward Deployed Data & Integration Engineer, you work at the intersection of modern data platforms, enterprise integrations, cloud environments, and AI delivery. Your mission is to help customers move AI and agentic solutions beyond pilots by connecting them to the data, systems, and platforms they need to create measurable business value in production. You will work closely with 1–2 strategic customer accounts at a time, taking a hands-on role in designing and building the data platforms and integrations that AI solutions depend on. You’ll connect AI and agentic workflows with enterprise data, source systems, and downstream applications through APIs, data pipelines, event streams, middleware, and modern integration services. This is not an architecture-only role. You combine hands-on engineering with architecture and design, working in complex customer environments to modernize data platforms and integrations and turn prototypes into secure, governed, monitored, and reliable production services. What we’re looking for We are looking for an experienced data platform and integration engineering professional who combines strong hands-on technical expertise with architecture capabilities, customer-facing skills, and experience enabling modern AI solutions. We hope you recognize yourself in most of these: 5+ years of experience in data platform engineering, data engineering, systems integration, or a similar technical role, with a track record of delivering enterprise solutions into production. Strong experience with modern data platforms such as Microsoft Fabric, Databricks, Snowflake, or equivalent, including data modeling, pipeline orchestration, and access and governance controls. E