Lead Data Engineer

Quick Facts

• Role: Lead Data Engineer

Description

Lead the design and delivery of modern cloud-based data platforms, scalable data pipelines, and cloud-native processing frameworks. Direct data engineering workstreams, run migrations from existing orchestration platforms to cloud-native solutions, and define data governance including lineage, metadata management, and security controls.

Responsibilities

• Design and deliver cloud-based data platforms

• Lead data engineering workstreams and technical implementation activities

• Build scalable data pipelines and processing frameworks

• Drive migrations from existing orchestration platforms to cloud-native solutions

• Define data governance, lineage, metadata management, and security controls

• Implement data virtualization and integration patterns across multiple data sources

• Support optimization for performance, reliability, and operational excellence

Requirements

• 6–9 years of professional experience in data engineering

• Expert-level Databricks experience

• Experience with Data Lakehouse architecture and implementation

• Knowledge of data governance frameworks and compliance

• Experience with workflow orchestration tools and migration projects

• Hands-on SQL, Python, Spark, and cloud-native data services

• Experience delivering enterprise-class data platforms

• English B2–C1 for international communication

• ASAP availability (up to 1 month notice with effect at month-end)

Benefits

• Long-term collaboration; compensation 150–180 PLN net/hour + VAT

• Support for starting and running a business (for those without prior experience)

• Fast hiring process: two online technical interviews (max 1 hour each) with managers

• Fully remote work

• Private medical care and Multisport card

• Modern equipment with required software and configuration