Senior Data Engineer (AWS)

Capgemini

Województwo pomorskie

Hybrid

PLN 120,000 - 180,000

Full time

6 hours ago
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Benefits offered by this job

Yearly financial bonus
Private medical care (Medicover) with
Life insurance
NAIS benefit platform

Job summary

Capgemini Poland is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and ETL/ELT processes in AWS. You will work with S3, Glue, Lambda, EMR, Redshift, and Athena within a collaborative Insights & Data team.

You’ll partner with architects to ensure data quality, governance, and secure cloud solutions, applying Python for automation and handling large datasets while collaborating across a global technology platform.

Qualifications

  • Experience delivering complex data engineering tasks independently.
  • Cloud-based data pipelines experience is essential.
  • Proficiency with AWS Data & Analytics services.
  • Strong Python skills for ETL/ELT processing, automation and data integration.
  • Ability to work with large datasets and optimize performance.
  • Experience with Azure or GCP is a plus.

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 analytics components.
  • Build and optimize distributed data processing workflows and large-scale data ingestion frameworks.
  • Collaborate with solution architects and engineering teams to create scalable, reliable data solutions.
  • Ensure data quality, governance, and compliance across cloud environments.
  • Participate in code reviews and improve engineering standards and practices.
  • Create and maintain technical documentation for data pipelines and architecture.

Skills

Python
ETL/ELT
Data pipelines
Cloud experience
English

Tools

AWS
Azure
GCP

Job description

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

YOUR TASKS:
  • 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.
YOUR PROFILE:
  • 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 You’ll Love About Working Here
  • Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform.
  • Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
  • Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies.
  • Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
GET TO KNOW US

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube.

ABOUT CAPGEMINI:

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.

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