Job Description

Responsibilities:

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- Technology partner certifications: Work through structured certification programs with our technology partners across martech platforms and marketing data tools, building real working proficiency rather than surface-level exposure.
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- 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.
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- 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.
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- Scripting for data work: Use Python or similar scripting to clean, transform, and work with marketing data, learning tools like pandas as you go.
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- Data quality practice: Learn to spot and fix data quality issues, inconsistent records, broken mappings, and gaps in how data flows into the places marketing teams use it.
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- Market and use-case research: Investigate open problems and emerging use cases across the martech and data landscape to help our team understand what's possible and where the gaps are.
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- Solution curation support: Help shape and evaluate the solutions and services we consider bringing to clients, based on your research and certification work.
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- Writing and content contribution: Turn your research into written output,



internal notes that inform our thinking, and external content such as newsletters, articles, and whitepapers.
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- Guided exposure to client work: You won't be placed directly on client engagements at this stage, but you'll get a real glimpse of client problems as you assist the team with research tied to active client challenges.
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Qualifications:

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The primary profile: technically strong, new to marketing

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- Pursuing or recently completed a Master's in Computer Science, Data Science, or a related engineering discipline.
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- Comfortable with structured data and logical problem-solving. Exposure to any of SQL, Python or scripting, APIs, or data pipeline concepts is a robust plus, though we're looking for breadth of interest, not existing depth in all of them.
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- G enuine interest in understanding how the marketing function works and how data and technology fit into it.
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The exception profile: has done both

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- 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.
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One thing matters more than either profile: a genuine interest in exploring and solving the challenges marketing teams actually face.

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Technical skill or prior marketing exposure will get you in the door, but if the underlying problems of the marketing function don't interest you, this internship won't be a fit for either of us.

📌 Marketing Data Engineering Intern (Bengaluru)
🏢 Martechture
📍 Bengaluru