Senior Big Data Engineer

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