Team Lead Data Engineer

We are GFT Poland WE KNOW how to tackle complex issues with innovative approach to deliver the highest value. Our reputation has been built around one simple rule: we do not overpromise, WE DELIVER . We deliver to our employees, clients and partners. WE GROW as you grow, so investing in you is our business strategy. Caring for each other is our priority. WE CARE who you are, what you need, how you feel. WE CARE to smile, have fun and develop as human beings.

Why Choose GFT? A culture of top performance Deep tech IT engineering & consulting 1200 skilled & top-class experts 77% of the team are regular/senior Products that contribute to a sustainable world Competitive salary and benefits Ambitious projects, trainings and tools you need to flourish Google Cloud Partner of the Year - for going above and beyond for customers What will you do?

Join a large-scale financial services transformation program focused on investment banking operations. You will be responsible for designing and building modern data platforms, driving data engineering best practices, leading technical initiatives, and delivering scalable solutions for batch and near real-time analytics in a highly regulated environment. We offer

Hybrid work in our client's office (Kraków) 3 days a week Working in a highly experienced and dedicated team Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.) Online training and certifications Access to e-learning platform Social events

Daily tasks

• 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 with a focus on performance, scalability, and reliability
• Develop and maintain Databricks-based data solutions
• Implement CI/CD pipelines and engineering automation practices
• Drive adoption of AI-powered engineering practices across 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

Requirements

Master's degree in Computer Science or a 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 Hands-on 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

Must have: Degree, AI, Delta Live Table, Big data, Data warehouse, Data Lake, Cloud

Nice to have: Unix, Linux, Automated testing, CD pipelines, Azure