AWS Data Science Engineer (B2B)

Quick Facts

• Role: AWS Data Science Engineer (B2B)

Description

You will explore large datasets to uncover patterns and answer business questions. Build features and analytical workflows using Python and SQL, develop and maintain AWS data pipelines, and apply statistics plus machine learning/AI where appropriate. Help bring analytics into production and communicate and document findings for technical and business stakeholders.

Responsibilities

• Explore large datasets to understand patterns and answer business questions

• Develop features and analytical workflows using Python and SQL

• Build and maintain data pipelines on AWS

• Apply statistical methods and, when appropriate, machine learning or AI techniques to solve business problems

• Move analytical solutions into production and maintain existing workflows

• Explain findings and document work for technical and business stakeholders

Requirements

• Bachelor’s or master’s degree in Computer Science, Engineering, IT, or related field

• 3+ years of professional experience as a Data Scientist, Data Engineering, or a role combining analytics and engineering

• Strong Python skills including libraries such as pandas, NumPy and 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, EMR)

• Experience with ETL/ELT pipelines or orchestrating data workflows

• Fluent English and Polish

• Willingness to visit the Katowice office once per month and travel to the client’s office in Lisbon once per quarter

Benefits

• Opportunity to develop yourself and work on digital future initiatives

• Work supporting AI, cloud computing, digital media, and IoT-enabled business models