Data Acquisition Specialist

Our Mission: At Sunrise Robotics, we are dedicated to augmenting humanity through intelligent robotics. Our mission is to elevate the world of manufacturing by introducing intelligent, flexible robots that enhance human capabilities and existing machinery, ushering in the next era of production at higher quality, with less waste, and lower cost. Our Vision: We see a future where every element of manufacturing, from design to assembly, is optimised with intelligent automation. Our vision is to integrate flexible robotic solutions, based on generic hardware and advanced software/AI capabilities, into manufacturing, particularly in small and medium-sized enterprises, to make automation economically viable and accessible, for all sizes of manufacturers. We are not just building robots; we are creating the strategically crucial components for autonomous, intelligent agents of the future. The Role As our Data Acquisition Specialist, you sit at the point where our customers’ factories meet our product roadmap. You go deep into electronics manufacturing processes, capture how they really work, and turn that complex reality into structured data, analytics, and reporting that the product team uses to decide which robotics capabilities to build next. You are the technical face of Sunrise in these conversations: trusted by customer engineers to understand their process, and trusted internally to translate it into evidence the product team can act on. This is a balanced, hands-on role, part time in the field with customers, part time building the data foundation. What you’ll do Capture and translate customer processes: Work directly with customer engineering and operations teams to observe, document, and map their manufacturing processes (for example PCBA, assembly, inspection, test, and material handling). Elicit and write up process requirements, constraints, cycle times, tolerances, and failure modes in a clear, structured form. Translate domain language in both directions between customers and our product and engineering teams. Structure data and build the analytics foundation: Define what data we should capture across customer engagements, and design simple, durable structures to hold it. Build and maintain the datasets, queries, dashboards, and reports the product team relies on, using strong SQL and Python and a BI tooling. Keep the data clean, consistent, and trustworthy across many processes and customers. You own this lightweight infrastructure end to end. Turn data into product insight: Analyse process and capability data to surface patterns, reuse opportunities, and gaps that should shape the roadmap. Produce the recurring reporting and one off analyses the product team use to prioritise. Recommend where robotics capabilities will unlock the most value, backed by evidence. Be a technical face of the company externally: Represent Sunrise credibly with customer technical stakeholders, both on-site and remote. Build trust by genuinely understanding both the manufacturing process and what modern robotics software and machine learning can and cannot do for it. Feed customer reality back into product decisions, and clear technical narratives back out to customers. What you’ll bring Hands-on analytical and data skills. SQL and Python, comfort structuring messy data into usable datasets, and building dashboards and reports in a BI tool. You don’t need to be a data engineer, but you should be able to stand up lightweight data infrastructure and own it. Deep familiarity with manufacturing processes, from either a process or industrial engineering background in any manufacturing environment, or from deploying robotics and automation into manufacturing. You can walk a factory floor and understand what you’re seeing. Requirements capture. The ability to elicit, structure, and clearly document complex technical requirements. Customer-facing presence. Credible, trusted, and clear with technical stakeholders; comfortable being the external technical representative of the company. Working understanding of modern robotics and machine learning. Enough to reason about feasibility and value. You don’t need to be a practitioner, but you need to understand what it takes. Excellent written communication. Able to turn observation and data into crisp, decision-ready narratives. Nice to have Direct experience in electronics manufacturing (PCBA, box build, test, or EMS / contract manufacturing environments). Experience working alongside or within a product team. Familiarity with data pipeline or warehouse tooling, even if it isn’t your primary muscle. Exposure to robotics, computer vision, or machine-learning-driven automation projects. Location and travel Remote-first, CET +/- 3Hrs You’ll travel to customer manufacturing sites as projects require (minimum 50% travel), with the flexibility to be on the floor when it matters most.