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We are looking for a Senior Data Engineer to join a strategic marketing technology (Martech) transformation initiative for a large enterprise organization. The project focuses on modernizing the client's marketing data platform, rebuilding data pipelines, and improving marketing attribution across multiple business brands. As part of a dedicated data engineering team, you will help build a scalable, cloud-native data platform on Google Cloud Platform (GCP), enabling better visibility into marketing performance and supporting data-driven decision making. This is a long-term engagement through the end of 2026, working closely with the client's Data Engineering, Product, and Martech teams. Responsibilities: Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP). Build and optimize data models in BigQuery to support analytics and marketing reporting. Rebuild legacy marketing data pipelines following modern engineering best practices and enterprise standards. Contribute to the development of a canonical enterprise data model and semantic data layer. Support the implementation and adoption of DataHub as the enterprise data catalog. Develop automated CI/CD pipelines for data engineering workflows and enforce coding and data quality standards. Ensure proper data isolation between multiple business brands while enabling consolidated reporting where appropriate. Collaborate closely with Product Managers, Martech specialists, Analytics teams, and other data engineers to deliver business value. Optimize data processing performance, reliability, monitoring, and cost efficiency. Required Qualifications: 5+ years of experience as a Data Engineer. Strong hands-on experience with Google Cloud Platform (GCP). Advanced experience with BigQuery. Strong SQL and Python development skills. Experience designing and implementing modern ELT/ETL pipelines. Solid understanding of dimensional modeling, semantic modeling, and enterprise data architecture. Experience building production-grade CI/CD pipelines for data platforms. Familiarity with Git and modern software engineering best practices. Strong communication skills and ability to work within cross-functional teams. Upper-Intermediate or higher English. Nice to Have: Experience with marketing technology (Martech) platforms and marketing attribution. Hands-on experience integrating: Google Ads, Google Analytics (GA4), Search Ads 360 (SA360), Campaign Manager 360, DV360 Experience with DataHub or similar data catalog solutions. Experience implementing semantic layers for analytics platforms. Understanding of multi-brand or multi-tenant data architectures. Experience modernizing legacy data platforms and rebuilding pipelines from scratch. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits *not applicable for freelancers
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.