Senior Data Engineer

Job Description We are 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. Location : Poland (Hybrid / Warsaw) 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-concurrency embedded dashboard usage with sub-second query performance Integrate Analytics Platform Build dashboard data sources with optimized SQL transformations Handle complex data structures and parsing requirements Create flat, denormalized tables optimized for embedded analytics consumption Implement custom field handling for tenant-specific metadata requirements Required Qualifications 5+ years of data engineering experience with production-scale systems Expert-level SQL skills with analytical databases (columnar databases preferred) Strong Python programming with data libraries: pandas, numpy, pyarrow Experience with ETL orchestration tools: Apache Airflow, Prefect, dbt, or similar Deep understanding of analytical databases, partitioning strategies, and OLAP optimization Experience building SaaS data platforms with tenant isolation requirements Knowledge of Row-Level Security (RLS) implementation in analytical databases Understanding of RBAC patterns and session-based access control Experience with authentication flows in data systems Familiarity with compliance requirements (SOC2, GDPR) for multi-tenant data Nice-to-Have Experience Database Experience Experience with columnar databases: ClickHouse, BigQuery, Redshift, Snowflake Knowledge of streaming data platforms: Apache Kafka, Pulsar, Kinesis Understanding of distributed systems and database replication Analytics & BI Experience Experience with embedded analytics platforms and dashboard frameworks Knowledge of semantic modeling and metrics layers Familiarity with data visualization and self-service analytics Advanced Technical Skills Experience with real-time data processing and event streaming Knowledge of data mesh or data fabric architectures Understanding of machine learning pipeline integration Experience with data lineage and data catalog tools Required Skills Advanced SQL Analytical Database Design ETL Pipeline Development Real Time Data Ingestion Python Data Processing Pandas NumPy PyArrow Airflow Orchestration dbt OLAP Performance Tuning Partitioning Strategy Design Multi Tenant Data Modeling Row Level Security RBAC Access Control Session Based Access Control Data Quality Monitoring Data Validation Frameworks Audit Logging Authentication Flows SOC 2 Compliance GDPR Compliance Benefits and Perks Umowa o pracę Languages en:fluent Job Overview Location: Warsaw Seniority Level: Senior Salary Range: Not specified Originally posted on Himalayas