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