Senior Data Scientist

• 4-6 years of experience in data engineering or related field
• Strong experience with Apache Airflow and distributed data processing frameworks like Apache Spark
• Proficiency in Python and SQL for data pipeline development
• Mandatory familiarity with AI-assisted coding tools for day-to-day development
• Experience with GCP data services for managing cloud-based data solutions
• Knowledge of data transformation tools such as dbt
• Experience with streaming systems for real-time data processing
• Exposure to data quality or governance tooling
• Familiarity with analytics or business intelligence use cases
• Understanding of Apache Beam for batch and streaming data processing

Location: Krakow

Contract Type: 6 Month

Job Type: Hybrid

• Work with cutting-edge AI-assisted coding tools in your daily development
• Build and operate scalable batch and streaming data pipelines using Apache Spark and Apache Beam
• Collaborate with Analytics and Platform Engineers on cloud-based data solutions
• Gain exposure to data quality, governance tooling and real-time streaming systems
• Join a company investing in advanced GCP data services and modern data infrastructure

Company Overview

Our client is a technology-focused organisation operating in Krakow, committed to building robust data infrastructure that supports business intelligence and analytics capabilities. They work with modern cloud-based data platforms and are investing in AI-driven workflows to enhance their data processing capabilities. The company values collaboration across engineering teams and maintains a focus on data quality, governance and scalable solutions that support real-time and batch processing needs.

They are currently seeking a Senior Data Scientist to join their team in Krakow on a contract basis. This role offers the opportunity to work with modern data engineering frameworks and AI-assisted development tools while contributing to the design and operation of scalable data pipelines.

Position Overview

As a Senior Data Scientist, you'll play a central role in designing, building and operating data pipelines that process information at scale. You'll work with distributed data processing frameworks, orchestrate complex workflows, and develop transformations that ensure data quality across the organisation. Your work will directly support analytics and business intelligence initiatives, enabling data-driven decision-making across the business. This position offers hands-on experience with modern cloud platforms, streaming systems and AI-enhanced development practices.