Team Lead Data Engineer

GFT Poland is an IT engineering and consulting company with 1200 skilled experts, including 77% regular/senior staff. The company is a Google Cloud Partner of the Year and works on products that contribute to a sustainable world. This role is part of a large-scale financial services transformation program focusing on investment banking operations.

• Master's degree in Computer Science or related IT field
• 12+ years of experience in a similar role
• Excellent leadership and team collaboration skills
• Hands-on experience using AI in the software development lifecycle
• 5+ years of experience with Databricks
• Strong expertise in Python
• Strong expertise in Apache Spark
• Experience with Delta Lake and Delta Live Tables (DLT)
• Experience with GitLab
• Experience with Big Data solutions
• Experience with Data Warehouse and Data Lake architectures
• Experience building scalable batch and streaming data pipelines
• Experience processing high-volume data for near real-time analytics
• Strong cloud experience, preferably Azure
• Experience with Unix/Linux environments
• Shell scripting skills
• Experience designing high-performance applications with strict non-functional requirements
• Experience building automated testing frameworks and CI/CD pipelines
• Ability to rapidly prototype and harden solutions using sound engineering principles

Nice to have:

• Experience with SQL
• Experience with PL/SQL
• Experience with PostgreSQL
• Experience with Azure SQL
• Experience in investment banking or financial services
• Experience with application modernization initiatives

• Design and develop scalable data platforms and data processing solutions
• Build and optimize batch and streaming data pipelines for high-volume data processing
• Lead technical design activities focusing on performance, scalability, and reliability
• Develop and maintain Databricks-based data solutions
• Implement CI/CD pipelines and automation practices
• Drive adoption of AI-powered engineering practices in the software development lifecycle
• Collaborate with cross-functional teams to deliver business-critical data products
• Create prototypes and evolve them into production-ready solutions
• Ensure compliance with non-functional requirements including high throughput and low latency
• Support application modernization and data integration initiatives
• Mentor engineers and promote engineering best practices
• Participate in knowledge transfer and handover activities