[Hiring] Data Engineer @SemiAnalysis

Role Description

We are seeking a clever and motivated Data Engineer to join our team in Europe. You’ll be the architect and maintainer of the pipelines, data models, and infrastructure 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.

Key Responsibilities

• Design, develop, and maintain robust and scalable ETL pipelines in Python to power our industry models and analytics products.
• Work with lead analysts to ensure data accuracy, completeness, and utility value across multiple sources and formats.
• Build scalable and reusable data workflows in cloud environments (GCP, AWS, or Azure).
• Implement and maintain data quality monitoring.
• Able to effectively use a SQL database via automated cron jobs.
• 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.

Qualifications

• 1–3 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.
• The right combination of opinionated and low-drama.

Requirements

• Experience with Flask, Redis, Dash, Airflow, GitHub Actions, and/or Kubernetes.
• Familiarity with automated regression, smoke, or unit testing methodologies.
• Experience working with messy, real-world data.

Location

Full-time role based remotely in Europe.