Senior Data Scientist

BELVEDERE; Kraków; Hybrid; PLN 180,000 - 260,000; Part time

Job summary

BELVEDERE in Krakow is seeking a Senior Data Scientist to design, build, and operate scalable batch and streaming data pipelines. You will work with distributed processing frameworks and AI-assisted development tools to deliver cloud-based data solutions and governance-enabled data workflows.

The role involves collaborating with Analytics and Platform Engineers, leveraging GCP services, and driving data quality and BI use cases. Hybrid work setup in Krakow is offered for a six-month contract.

Qualifications

• 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.

Responsibilities

• Design and build scalable batch and streaming data pipelines.
• Implement distributed data processing using Apache Spark and Apache Beam.
• Orchestrate workflows with Apache Airflow to ensure efficient data management.
• Develop and maintain data transformations using SQL and dbt.
• Collaborate with Analytics Engineers and Platform Engineers on project execution.
• Enhance data processing capabilities through AI-driven workflows.
• Support business intelligence needs through analytics-driven use cases.
• Improve data integrity using quality and governance tooling.

Skills

Python

SQL

AI-assisted coding tools

GCP familiarity

Tools

Apache Spark

Apache Beam

Apache Airflow

dbt

Job description

Senior Data Scientist - AI-Driven Data Engineering

Location: Krakow

Contract Type: 6 Month

Job Type: Hybrid

• Work withcutting-edgeAI-assisted coding tools in your daily development
• Build andoperatescalable 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, governancetoolingand real-time streaming systems
• Join a company investing in advanced GCP data services and modern data infrastructure

Company Overview

Our client is a technology-focusedorganisationoperatingin 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 andmaintainsa focus on data quality,governanceand 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'llplaya central rolein designing, building and operating data pipelines that process information at scale.You'llwork with distributed data processing frameworks, orchestrate complex workflows, and develop transformations that ensure data quality across theorganisation. 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, streamingsystemsand AI-enhanced development practices.

Responsibilities

• Design and build scalable batch and streaming data pipelines
• Implement distributed data processing using Apache Spark and Apache Beam
• Orchestrate workflows with Apache Airflow to ensure efficient data management
• Develop andmaintaindata transformations using SQL anddbt
• Collaborate with Analytics Engineers and Platform Engineers on project execution
• Enhance data processing capabilities through AI-driven workflows
• Support business intelligence needs through analytics-driven use cases
• Improve data integrity using quality and governance tooling

Requirements

• 4-6 years of experience in data engineering or related field
• Strong experience with Apache Airflow and distributed data processing frameworks like Apache Spark
• Proficiencyin 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 asdbt
• 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

Benefits

While specific benefits details are beingfinalised, this contract position offers the opportunity to work with modern data engineering technologies and AI-assisted development tools.You'llcollaborate with experienced Analytics and Platform Engineers, gaining exposure to cloud-based data solutions, streamingsystemsand data governance practices. This role provides hands-on experience with industry-standard frameworks and the chance to contribute to scalable data infrastructure that supports critical business intelligence needs.