Senior Big Data Engineer

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 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