Data Engineer

About the job

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