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
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
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
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
Umowa o pracę
Languagesen:fluent
Location: Warsaw
Seniority Level: Senior
Salary Range: Not specified
Skills Required
- 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
- Experience with advanced partitioning, indexing, materialized views, and OLAP performance tuning
- Ability to design real-time data ingestion systems and denormalized tables for embedded analytics
- Fluent English
- Experience with columnar databases (ClickHouse, BigQuery, Redshift, Snowflake)
- Knowledge of streaming data platforms (Apache Kafka, Pulsar, Kinesis)
- Experience with embedded analytics platforms, semantic modeling, data lineage, and data catalog tools
- Familiarity with data mesh/fabric architectures and ML pipeline integration
What We Do
CareerSwift is an AI-powered recruitment and job search automation platform designed for both professionals and growing companies. It streamlines the hiring process through AI-driven resume optimization, intelligent job discovery, and automated candidate screening and interviewing. By utilizing context-aware AI agents, CareerSwift helps job seekers land roles faster and enables companies to identify high-quality talent more efficiently.
