Data Engineering Apprentice - Remote

LUNARTECH is offering a highly competitive 6-month Data Engineering Apprenticeship focused on building robust data pipelines and intelligence systems for financial and investment-related data. The role involves designing and building data pipelines, aggregating data from various sources, and ensuring data quality and security.

Responsibilities:

• Designing and building pipelines for collecting financial and investment-related data
• Aggregating data from structured and unstructured sources across global markets
• Working with data related to venture firms, family offices, funds, sectors, regions, ticket sizes, and investment focus areas
• Building universal schemas for organizing complex investment and deal-sourcing information
• Researching and enriching records with deeper context for analysis and outreach
• Ensuring data quality, consistency, security, and long-term maintainability
• Using modern data engineering tools, automation workflows, APIs, databases, and AI-assisted research systems
• Supporting downstream use cases in analytics, intelligence, outreach, and AI systems

Requirements:

• Strong foundation in Software Engineering, Data Engineering, or a related technical field
• Experience with Python, SQL, APIs, scraping, automation, or data pipelines
• Familiarity with cloud environments, databases, and secure data storage
• Interest in financial markets, venture capital, private investment, or deal sourcing
• Ability to think in terms of systems, reliability, data quality, and scale
• Ability to use modern AI Technologies and Tools for Research
• Master's degree in Top Tier Data Engineering, Computer Science, or a related field is a strong plus