Data Engineer

About UsManukai stands for Manu_facturing and Kai_zen, a Japanese methodology of continuous improvement that translates to "change for better." In ancient Greek, Kai_ros means "the opportune moment."We are a spin-off from ETH Zürich, aiming to bridge the gap between metal part design and machining. Our AI-powered technology empowers manufacturers to prioritize their clients' needs and deliver high-quality products to the market. Our primary focus is making an immediate impact, with client satisfaction as our utmost priority.The RoleYou will own data reliability, scalability, and efficiency across Manukai's systems. You will accelerate data-driven decision making and lay the groundwork for machine learning by delivering high-quality data and quantitative reports. You will build automation to scrape, generate, visualize, and label data; design and manage data warehouses; and collaborate closely with machine learning engineers and the founding team to ensure data needs are met. We value proactive contributors who bring ideas that shape our product and company.About YouYou are a team player who enjoys technical challenges. You appreciate short decision paths and can drive your ideas autonomously from concept to production. You contribute thoughtfully to architecture, design, and code reviews. You remove hurdles, thrive in a dynamic environment with evolving requirements, and are eligible to work in Switzerland.TasksBuild tools to scrape, visualize, analyze, and label dataLabel scraped and customer-provided datasetsWork with multiple CAM systems for data extraction and analysisSupport the design and development of machine learning algorithms to generate synthetic dataValidate machine learning algorithms using generated datasetsEnsure data needs are met across all teamsAutomate and optimize processes and workflowsMaintain high software quality and sustainable development; review teammates' code for best practices (for example, testability, efficiency, and style)Data You Will Work WithCAM artifacts such as toolpaths, geometry, machining parameters, and simulation outputsB-reps (for example, STEP files) and derived quantitiesOutputs of proprietary ML algorithmsRequirementsDegree (BSc, MSc, or PhD) in a quantitative field, or 3+ years of professional software development experience in lieu of a degreeStrong numerical and analytical skillsSolid understanding of statistics and data interpretationGood knowledge of PythonGood knowledge of common data engineering tools (for example, Airflow, dbt, Spark, Pandas/Polars)Knowledge of the Linux operating systemGood knowledge of machine learning practicesExperience with databases and data modeling, including SQL (PostgreSQL, SQLite) and NoSQL (MongoDB)Experience with CADGood understanding of version control, testing, continuous integration, build, deployment, and monitoringSound software design and an agile development mindsetBenefitsPersonal growth potential: You will be a key team member and part of the success story.Equity participation: You'll have the opportunity to share in the company's success through our stock option plan.Personal development: Dedicated time to pursue your personal interests and goals.Time off and flexibility: Generous vacation and flexible work hours.Pension plan: Generous and competitive.Location: Zürich or remote.At Manukai, we work on real problems with real impact. We combine advanced AI algorithms, human-centered design, and deep respect for craftsmanship in manufacturing. If you're looking for meaningful work, a sharp team, and a culture that cares — we'd love to meet you.