Data Science Engineer (AWS)

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.  

Benefits

• Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more.

• Language Courses – you'll have access to a multi-language learning platform enabling you to practice you language skills and learn new ones!

• Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development.

• Cooperation within  an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions.

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.  

Develop yourself and the digital future – at Reply!

Reply specialises in designing and implementing solutions based on new communication channels and digital media. Structured as a network of highly specialised companies, Reply supports leading European industrial groups in sectors such as Telco & Media, Industry and Services, Banking and Insurance, and Public Administration, helping define and develop business models enabled by new paradigms such as AI, Cloud Computing, Digital Media, and the Internet of Things. Reply’s services include Consulting, System Integration, and Digital Services.