Senior Data Engineer (AWS)
Capgemini Polska
Senior Data Engineer (AWS)
Miejsce pracy: Warszawa
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
- 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
- access to courses e.g. Excel, VBA, RPA, Customer Care
- unlimited access to Udemy Business
- free chat/call with a therapist
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.
I agree to the processing of personal data provided in this document for realising the recruitment process pursuant to the Personal Data Protection Act of 10 May 2018 (Journal of Laws 2018, item 1000) and in agreement with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).
- data mining Warszawa
- aws solutions architect Warszawa
- python developer python, flask, aws Warszawa
- storage engineer Warszawa
- inżynieria ekologiczna Warszawa
- senior industrialization engineer Warszawa
- red hat engineer Warszawa
- offshore engineer Warszawa
- inżynieria wodno kanalizacyjna Warszawa
- presales engineer Warszawa