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This is a data engineering role attached to a marketing and revenue operations function, which is a combination worth understanding before you apply. The work itself is genuine pipeline engineering: designing and scaling high throughput data ingestion and transformation pipelines inside a customer data platform, building integration processes and REST API workflows with external data vendors, and authoring the frameworks that keep core data domains healthy. The named stack is SQL, Snowflake, dbt and REST API design, with database management and query performance optimisation alongside. Where it differs from a product data engineering job is the consumer: the output feeds sales and marketing activation rather than a customer facing product, and the role reports into a marketing technology and data strategy function. No years requirement is published anywhere. Who it is for: What the posting asks for: extensive expertise building scalable data pipelines, optimising ingestion workflows and managing complex data transformations in enterprise business to business environments. Advanced technical proficiency with SQL, Snowflake architectures, dbt and REST API design, combined with deep database management and query performance optimisation skills. A proven ability to manage complex data integration, data quality frameworks and enterprise data governance practice tailored to go to market operations. A track record of translating technical challenges into clear business solutions while working across highly technical and non technical business units in an agile environment. The posting publishes no years of experience requirement and no degree requirement. The actual day to day: designing, developing and scaling high throughput data ingestion and transformation pipelines within the customer data platform so marketing and sales environments have real time access to data. Building and managing data integration processes and REST API workflows with external data vendors, and optimising synchronisation rules. Authoring and executing technical frameworks that improve the health of core data domains including account hierarchies, firmographics and contact records, and embedding marketing requirements into enterprise master data management strategy. Partnering with IT, business intelligence and product engineering teams to design data flows that unify customer touchpoints. Who you report to: the posting states this role reports to the senior customer data platform leader within marketing technology and data strategy. Location and office reality: Bangalore, India. This employer describes itself elsewhere as primarily an in-office environment, so confirm the expected office days. Honest fit guidance: with no years figure published, this role sits in no experience filter on this page, and we have written none rather than guessing. The honest trade here is domain: the engineering is real data engineering with a modern stack, but the stakeholders are revenue operations, and career paths from this seat lean toward marketing technology and analytics engineering rather than product infrastructure. If that suits you, the Snowflake and dbt experience is highly portable. If you want to build data platforms for a product, note the difference before applying. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.