Data Science Engineer (AWS) (B2B)

Responsibilities

As a Data Science Engineer, you will develop data-driven solutions on AWS, combining data analysis, feature engineering, statistical thinking, and hands-on data engineering. You will work closely with business, engineering, and platform teams to turn data into actionable insights and scalable analytical workflows.

• Explore, analyze, and interpret large datasets.
• Develop features, analytical logic, and data science workflows.
• Build and maintain data pipelines on AWS.
• Apply statistical methods and machine learning where useful.
• Support the operationalization of analytical solutions.
• Collaborate with engineering and platform teams.
• Document and present results to business and technical stakeholders.

Qualifications

• Bachelor’s or master’s degree in Computer Science, Engineering, IT, or a related field.
• 3+ years of professional experience as a Data Scientist, Data Engineering, or in a hybrid analytics role.
• Strong Python skills, e.g. pandas, NumPy, scikit-learn.
• Good SQL skills and experience working with data platforms.
• Solid understanding of statistics, data analysis, and feature engineering.
• Hands-on experience with AWS data services, e.g. S3, Glue, Athena, Lambda, SageMaker, Step Functions, Redshift, or EMR.
• Experience with ETL/ELT pipelines, orchestration, or data workflows.
• Fluent English and Polish.
• Willingness to visit the Katowice office once per month and travel to the client’s office in Lisbon.

Nice to have

• Experience with ML model development or model evaluation.
• Git, CI/CD, Docker, or infrastructure-as-code.
• Customer-facing project experience.