technologies-expected

Expected, Python, AWS

technologies-optional

Optional, Azure, GCP

Opis stanowiska

About the project, Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world., , YOUR ROLE, 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

Twoje zadania

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.

Wymagania

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.

Co oferujemy

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.

Co oferujemy

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

Recruitment stages, Interview with the recruiter, Competency Tests/Language Verification, Video call with a manager, Final Decision

Opis stanowiska

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.

Opis stanowiska

This is how we work,

Opis stanowiska

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

YOUR ROLE

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

Twoje zadania

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.

Co oferujemy

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.

Recruitment stages

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

Senior Data Engineer (AWS)

Capgemini Polska