Expert Data Consultant

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? You will join a team responsible for building a cloud-based strategic data platform supporting risk management processes within investment banking. The project focuses on data integration, process automation, digital transformation, and modernization of large-scale financial services platforms, enabling more effective risk management and data processing capabilities. Daily tasks: - Design and develop ETL and data processing solutions using Python and PySpark - Build and maintain cloud-based data platforms and pipelines - Analyze business requirements and translate them into technical solutions and implementation plans - Develop data ingestion, cleansing, transformation, loading, and reporting processes - Work with Azure services including ADLS, Azure Key Vault, and Databricks - Create and maintain CI/CD pipelines using GitLab - Develop and maintain Shell scripts and scheduling solutions - Collaborate with stakeholders in an Agile delivery environment - Support data analysis and troubleshooting on Unix platforms - Ensure high quality, scalability, and reliability of data solutions 10+ years of professional software engineering experience Recent hands-on experience with Python and PySpark used continuously over the last 2-3 years Experience with Java or C# Strong experience working on Unix platforms including file operations, permissions, environments, and data analysis Hands-on experience designing and developing ETL and data solutions using Python Experience with data ingestion, transformation, cleansing, loading, and reporting processes Experience with Shell scripting Experience with Autosys Experience working with Oracle databases Ability to gather business requirements and break them down into implementable technical tasks Experience with CI/CD pipelines and GitLab Good understanding of software development lifecycle within Agile environments Strong knowledge of Azure platform Experience with ADLS Experience with Azure Key Vault Experience with Databricks Nice to have Experience with AI-powered development tools such as GitHub Copilot Experience creating automation agents and AI-based productivity solutions Must have: Python, PySpark, Java, Unix, Data analysis, ETL Nice to have: Shell, Oracle database, CD, Azure, Key Vault, GitHub