Team Lead Data Consultant

GFT TECHNOLOGIES SE

Kraków

Hybrid

PLN 214,000 - 282,000

Full time

2 days ago

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Job summary

GFT Technologies SE in Poland is seeking a senior data engineer to design and build scalable data platforms for large-scale financial services programs. You will drive data engineering best practices, lead data pipelines, and deliver near real-time analytics in a regulated setting.

The role requires 12+ years in data engineering, strong Python and Spark skills, Databricks expertise, and Azure cloud experience. Hybrid work from Kraków is available, three days a week.

Qualifications

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.
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.
Openness to work hybrid from our client's office (Kraków) 3 days a week.

Responsibilities

Design and build modern data platforms and data processing solutions.
Lead batch and streaming data pipelines for high-volume processing.
Lead technical design activities focused on performance and reliability.
Develop and maintain Databricks-based data solutions.
Implement CI/CD pipelines and automation practices.
Promote AI-powered engineering practices across the lifecycle.
Collaborate with cross-functional teams to deliver data products.
Create prototypes and evolve them into production-ready solutions.
Ensure compliance with high throughput and low latency requirements.
Support application modernization and data integration initiatives.
Mentor engineers and share engineering best practices.
Participate in knowledge transfer and handover activities.

Skills

Leadership

AI in SDLC

Python

Apache Spark

Unix/Linux

GitLab

CI/CD

Testing frameworks

Big Data

Data Warehouse & Data Lake

Education

Master's degree in Computer Science or related IT field

Tools

Databricks

Delta Lake

Delta Live Tables (DLT)

Job description

Location: Kraków, PL, 30-302

Working place: Hybrid

Type of contract: B2B contract

Salary range: 155-205 PLN/H

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.

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
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
Openness to work hybrid from our client's office (Kraków) 3 days a week

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 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?