Tech Lead Data Engineer
Summary
Tech Lead Data Engineer at GFT Poland building and modernizing a large-scale, regulated financial data pipeline for a client in Kraków (hybrid, 3 days/week on the client's site). Day to day: designing high-throughput Spark/Databricks and Kafka streaming systems on Azure with Kubernetes, DevOps and CI/CD.
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 strategic data transformation initiative focused on building and enhancing a large-scale data pipeline that feeds and reconciles inbound data from deal stores to consumer regulatory and settlement systems. You will work on modernizing enterprise-grade financial services platforms within a highly regulated environment, leveraging cloud-native technologies, big data solutions, and distributed streaming architectures. The role involves designing high-performance systems, improving data processing capabilities, and collaborating closely with technical and business stakeholders.
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
- 7+ years of professional software engineering or data engineering experience
- Strong experience with Spark and Databricks
- Hands-on experience with PySpark
- Strong Python programming skills
- Good Java development experience
- Deep knowledge of Microsoft Azure cloud technologies
- Experience with Kubernetes
- Experience designing and implementing Kafka-based streaming solutions
- Experience with DevOps practices and CI/CD pipelines
- Experience building distributed, high-throughput and low-latency systems
- Strong problem-solving and analytical skills
- Ability to work independently on complex technical challenges
- Excellent communication and stakeholder management skills
- Experience working in Agile teams
Nice to have
- Experience providing Level 3 (DEV) production support in a high-pressure environment