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

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

,[Design and develop scalable data processing solutions using Spark and Databricks, Build and enhance data pipelines using PySpark, Python and Java, Develop high-performance, high-availability distributed systems, Implement and maintain streaming solutions based on Kafka architectures, Design and optimize cloud-native solutions in Microsoft Azure, Support CI/CD processes and DevOps practices, Collaborate with cross-functional Agile teams to deliver business requirements, Analyze complex technical flows and propose suitable technical solutions, Participate in system modernization and application transformation initiatives, Ensure reliability, scalability and performance of data platforms] Requirements: Data engineering, Spark, Python, Java, Microsoft Azure, DevOps, CD, Analytical skills, Stakeholder management Additionally: Life insurance, Sport subscription, Training budget, Private healthcare, International projects, Free coffee, Bike parking, Free snacks, Free beverages, Free parking, In-house trainings.

Tech Lead Data Engineer

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