Marketing Data Engineering Intern

About the Role

This is an internship position. Guided exposure to client work is provided, without direct placement on client engagements.

Key Responsibilities

• Technology partner certifications: Work through structured certification programs with technology partners across martech platforms and marketing data tools, building real working proficiency.
• Data querying and structuring: Get hands-on with SQL and structured data work, writing queries, understanding joins and aggregations, and learning how marketing data is organized and modeled.
• Pipeline and integration exposure: Build working familiarity with how marketing data moves between systems, covering pipeline concepts, API-based integration, and tool categories like data warehouses and reverse-ETL.
• Scripting for data work: Use Python or similar scripting to clean, transform, and work with marketing data, learning tools like pandas.
• Data quality practice: Learn to spot and fix data quality issues, inconsistent records, broken mappings, and gaps in data flow.
• Market and use-case research: Investigate open problems and emerging use cases across the martech and data landscape.
• Solution curation support: Help shape and evaluate solutions and services for clients, based on research and certification work.
• Writing and content contribution: Turn research into written output, internal notes, and external content such as newsletters, articles, and whitepapers.
• Guided exposure to client work: Assist the team with research tied to active client challenges.

Requirements & Tech Stack

• SQL
• Python or similar scripting
• API concepts
• Data pipeline concepts
• Data warehouses
• Reverse-ETL
• Pandas
• Martech platforms
• Marketing data tools

Qualifications

Primary Profile: Technically strong, new to marketing

• Pursuing or recently completed a Master's in Computer Science, Data Science, or a related engineering discipline.
• Comfortable with structured data and logical problem-solving.
• Exposure to SQL, Python or scripting, APIs, or data pipeline concepts is a strong plus.

Exception Profile: Has done both

• Candidates with real, hands-on marketing or campaign experience who also hold or are completing a Master's in data, AI, or a related technical field.

General Interest

• A genuine interest in understanding how the marketing function works and how data and technology fit into it.
• A genuine interest in exploring and solving the challenges marketing teams actually face.