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$ cat jobs/senior-data-engineer-easysoftgroup-b1eab6652ef4.json

Senior Data Engineer

easysoftgroup·EU·Poland·senior
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We is seeking a Senior Data Engineer to thoughtfully architect and build the foundation of our next-generation multi-tenant influencer marketing analytics platform. In this role, you’ll play a key part in shaping scalable, reliable data infrastructure that empowers our enterprise partners with accessible, meaningful analytics. You’ll work with modern analytical databases and BI platforms to help deliver clear, real-time insights at a significant scale. This is a highly impactful and collaborative position where you’ll develop systems that gracefully process millions of social media posts, creator metrics, and campaign performance data—while upholding strong standards of data isolation, security, and trust for our enterprise clients. Your work will contribute to a supportive, dependable data ecosystem that enables teams and customers to thrive. Location : Poland (Remote) Working hours : 12 pm - 9 pm CET Key Responsibilities Build Scalable Data Infrastructure Design and implement ETL pipelines migrating from transactional databases to analytical data warehouses Create real-time data ingestion systems processing campaign data, user metrics, and business intelligence Build multi-tenant data models with proper partitioning strategies for enterprise-scale clients Develop data quality frameworks with comprehensive validation, monitoring, and alerting Architect Multi-Tenant Security Implement Row-Level Security (RLS) and Role-Based Access Control (RBAC) in analytical databases Design dynamic permission models supporting organization-level and division-level data access Build session-based context management for secure multi-tenant queries Create comprehensive audit trails and access logging for compliance requirements Optimize Performance at Scale Design database schemas with advanced partitioning and indexing strategies Build materialized views and aggregated tables for real-time analytics Implement query optimization, data skipping, and compression techniques Handle high-