Data Architect

O projekcie 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.

As a Tech Lead DevOps you will work on a banking project in the field of investment banking

What will you do?

Join a data transformation initiative focused on designing and delivering modern data solutions on Google Cloud Platform. You will lead architectural decisions, build scalable data processing frameworks, optimize data platforms, and work closely with business stakeholders and engineering teams to drive data quality, analytics, and reporting capabilities.

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

Zakres obowiązków

• Develop and optimize ETL pipelines
• Develop and optimize BigQuery datasets
• Design and implement data processing logic and reusable templates
• Closely collaborate with business stakeholders and engineering teams
• Review and refine requirements and translate them into architectural decisions
• Drive data architecture standards and best practices
• Support data quality, metadata management, analytics, and reporting initiatives

Wymagania

• At least 8 years of commercial experience as a Data Lead or Data Architect
• Polish and English language proficiency at a fluent level is a mandatory requirement for this role
• Strong experience with the GCP Data Engineering stack is a must
• Strong SQL and Python skills
• Very good knowledge of BigQuery
• Experience in data architecture
• Experience in data quality management
• Experience in metadata management
• Experience in analytics and reporting solutions
• Experience collaborating with business stakeholders and technical teams

Nice to have

• Experience with BI tools such as Power BI, Qlik, or Apache Superset
• Experience with migration projects
• Experience working with legacy databases

Oferujemy

• International projects
• Sport subscription
• Training budget
• Private healthcare
• Platforma szkoleniowa
• Free coffee
• Playroom
• Free beverages
• Modern office
• Bike parking
• Free parking
• In-house trainings