Data Science Engineer (AWS) (B2B)

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, where appropriate, machine learning or AI techniques to solve business problems.
• Help bring analytical solutions into production and maintain existing workflows.
• Explain findings and document your work for technical and business 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 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, or 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.

Nice to have

• Experience with PySpark for distributed data processing.
• Experience developing or evaluating machine learning models.
• Familiarity with Git, CI/CD, Docker, or infrastructure-as-code.
• Customer-facing project experience.

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