Senior Data Engineer (AWS)

Technologies we use

Expected

• Python
• AWS
• S3
• Glue
• Lambda
• EMR
• Redshift
• Athena

Optional

• Azure
• GCP

About the project

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

Join our Insights & Data team — a community of professionals delivering impactful Business Intelligence and Data Engineering solutions. We work on global projects, leveraging modern ETL tools, data visualization technologies, and best practices in data engineering. Our approach is rooted in collaboration, continuous learning, and delivering real business value

Your responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT processes in AWS.
• Use AWS services such as S3, Glue, Lambda, EMR, Redshift, Athena, and other components of the AWS analytics ecosystem.
• Build and optimize distributed data processing workflows and large-scale data ingestion frameworks.
• Collaborate with solution architects and engineering teams to create scalable, reliable, and secure data solutions.
• Ensure data quality, consistency, governance, and compliance across cloud environments.
• Participate in code reviews and contribute to continuous improvement of engineering standards and practices.
• Create and maintain technical documentation related to data pipelines and architecture.

Our requirements

• Experience in the role of a Data Engineer with the ability to independently deliver complex tasks.
• Practical experience working with cloudbased data pipelines.
• Knowledge of AWS Data & Analytics services.
• Strong proficiency in Python for ETL/ELT processing, automation, and data integration.
• Ability to work with large datasets, including data modeling and performance optimization.
• Experience with an additional cloud platform (Azure or GCP).
• Fluent English proficiency.

What we offer

• Practical benefits: permanent employment contract from the first day; hybrid, flexible working model; equipment package for home office; private medical care with Medicover; life insurance; Capgemini Helpline; NAIS benefit platform;
• Access to 70+ training tracks with certification opportunities; platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUB;
• Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Cloud, IoT, Agile, AI.

Benefits

• access to courses e.g. Excel, VBA, RPA, Customer Care
• unlimited access to Udemy Business
• free chat/call with a therapist
• sharing the costs of sports activities
• private medical care
• life insurance
• no dress code
• parking space for employees
• extra social benefits
• redeployment package
• employee referral program
• charity initiatives

Recruitment stages

• Interview with the recruiter
• Competency Tests/Language Verification
• Video call with a manager
• Final Decision

Capgemini Polska

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.

This is how we work