Team Lead Data Engineer
At a glance
Senior Data Engineering role at GFT Technologies. Kraków.
Pay not stated Lead Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Design data platforms and processing systems that support batch and near real-time analytics
- Build and tune high-volume batch and streaming pipelines for performance and reliability
- Create Databricks solutions, plus CI/CD workflows and engineering automation
- Set technical direction, mentor engineers, and spread effective engineering practices
- Turn prototypes into production systems and support modernization, integration, and handover work
What you bring
- A master's degree in computer science or a related IT discipline
- At least twelve years in a comparable role, including five or more years working with Databricks
- Strong Python and Apache Spark skills, with practical experience building scalable batch and streaming pipelines
- Hands-on use of AI in software development, plus experience with automated testing and CI/CD
- Background in high-volume analytics and data platforms, including cloud work, preferably on Azure
Who this fits
This senior technical leadership role suits someone who can guide engineers while staying hands-on with data platforms and pipelines. The role is hybrid, with three days each week at the client's Kraków office.
From the employer
Type of contract: Employment contract
Salary range: 17400 - 26700 PLN gross
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.
Your 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
Your skills
- 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
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
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