Senior Analytics Engineer (Remote from Poland)

At Oversee, we are reimagining how corporate travel is managed. Our advanced technology and machine learning eliminate outdated, manual processes that hold companies back - driving cost savings , improving efficiency, and enabling smarter decision-making. We combine travel analytics with actionable insights, giving global enterprises the tools to gain visibility into their travel spend while continuously optimizing their programs. We are the global leader for air and hotel reshopping solutions and also provide “AgentSee”, an AI-powered productivity tool designed to help Travel Management Companies (TMCs) work smarter and faster. AgentSee automates manual tasks like processing traveler emails, booking flights, and managing travel arrangements; enabling TMCs to reduce costs and improve service quality. If you are looking for a dynamic, fast-paced, and positive environment and want to help solve a $17B global problem - Oversee is the place to build, grow, and make an impact. We’re growing fast, with exponential YoY revenue growth and partnerships with some of the world’s largest Fortune 500 companies. Why join us? You’ll join a product and engineering environment that moves quickly, evolves constantly, and values people who can operate with both ownership and autonomy. The product landscape changes fast, the data model continuously evolves, and architectural decisions are often made in real time - creating a strong opportunity for someone who enjoys building in high-growth, high-change environments. In this role, you’ll have meaningful influence over data architecture, tooling, and how AI is embedded into internal workflows and product development. It’s a strong fit for someone who enjoys solving complex data problems, working closely with product and engineering, and building systems that directly impact the business. Come shape the future of business travel with us! What you’ll do: Own the data architecture for one of our products, designing, building, and continuously evolving ETL/ELT pipelines as the product and its data model change rapidly; Support customer-facing work: data requests, POCs, and analyses that directly influence commercial outcomes; Drive data quality and architecture decisions independently, this role requires judgment, not just execution; Develop HTML-based dashboards and visualizations that surface the metrics and funnel visibility the product and business teams need to act; Build and maintain data endpoints consumed by React-based product pages, stepping into front-end development when needed because you can and it moves things faster; Bring genuine AI fluency to your workflow, not as a buzzword, but as a way of working; we’ll ask you how you’d use AI to improve what you’re building, and we expect a real answer. About you: 5+ years in analytics engineering, data engineering, or a closely related role - with strong, proven data modeling and ETL/ELT experience; Python is a must. You use it regularly and confidently for transformation, automation, or analysis; Strong SQL and a solid grasp of data warehouse architecture; hands-on experience with Snowflake or dbt is a significant plus; Senior-level independence: you can own ambiguous problems, make architecture calls, and communicate tradeoffs clearly to non-technical stakeholders; An active and thoughtful AI user, you have a real point of view on how AI changes data work, and you back it up with how you actually operate day-to-day; Comfortable contributing to front-end layers or working directly alongside React engineers without friction; Strong analytical mindset - business-oriented, funnel-aware, and able to go from raw data to insight without being handed the question first; BS in Computer Science, Statistics, Industrial Engineering, or a related quantitative field preferred. Our technology stack: Data warehouse: Snowflake, Dbt Analytics & Visualization: Power BI Languages: SQL, Python Data orchestrator: Dagster We are proud to be an equal opportunity workplace. We provide employment opportunities without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status.