Employment Type: Full-Time
Work Setting: In-office
Work Location: Singapore
Work Hours: Office hours
Find out more here: https://semianalysis.com
About SemiAnalysis
SemiAnalysis is an independent research and analysis firm specializing in the Semiconductor and AI industries. Our in-depth coverage spans the entire supply chain, from semiconductor fabrication processes to cutting-edge AI models, software, and infrastructure. We are recognized as the leading authority on the semiconductor supply chain, with the highest concentration of industry experts within one team, and a deep-rooted passion for delving into the intricacies.
We’re a global team of over 40 analysts, each with extensive networks across the semiconductor supply chain and AI ecosystem, publishing industry-shaping articles while participating in 40+ conferences annually.
Our newsletter reaches more than 200,000 subscribers worldwide, including senior management and C-suite leaders at the leading semiconductor and AI companies.
We also offer three core products:
- Industry Models
– We develop and publish models on accelerator shipments, datacenter demand and supply, GPU total cost of ownership, and more.
- Core Research
– We distill deep technical research into key insights on technology and product trends.
- Consulting and Technical Due Diligence
– We conduct custom research and project work for the largest funds, leading venture-capital firms, companies across the AI ecosystem, and government agencies.
Position Overview
- We are seeking a clever and motivated Data Engineer to join our team in Singapore. You’ll be the architect and maintainer of the data models that power our industry models, research, and consulting work.
- This role requires a mix of technical expertise, autonomy, and pragmatism—you’ll need to work independently, collaborate across our globally distributed team, and build systems that are both accurate, robust, observable, and modular.
- If you have a favorite SCD type (mine’s Type 2), we should probably talk.
Responsibilities
- Work with lead analysts to ensure data accuracy, completeness, and utility value across multiple sources and formats.
- Maintain and extend dashboards and APIs that deliver data to both internal analysts and external clients.
- Support the integration of new datasets, tools, and infrastructure components to enhance our analytics capabilities.
- Open-minded and resourceful with technical solutions and functionality of platforms.
- Maintain strong relationships with lead analysts and stakeholders to build solutions of the right fit.
Requirements
- At least 3 years of experience in a Data Engineering, Data Science or reasonably equivalent role.
- Capable in Python, SQL, and Excel.
- Strong ETL development experience.
- Hands-on experience with at least one cloud platform (GCP, AWS, or Azure).
- Highly autonomous—able to take a problem from definition to deployment with minimal oversight.
Growth Areas
- Develop a deep understanding of data modelling in real-world industry contexts, not just pipelines, but how data drives decision-making and research narratives
- Gain exposure to cutting-edge domains including AI infrastructure, semiconductors, and datacenters
- Work closely with experienced analysts to bridge the gap between raw data and high-impact insights
- Take ownership of systems end-to-end, growing into someone who can design, scale, and maintain production-grade data architecture
- Build strong judgment on trade-offs between speed, accuracy, and scalability in a fast-moving research environment
