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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on cloud and Big Data systems using Python, Scala, Java and AWS, Azure, GCP clouds. Tasks cover full SDLC involving ETL, DevOps, and AI/ML with focus on Generative AI, NLP, and Computer Vision. Responsibilities include automating cloud infrastructure management (IaC, Terraform), developing CI/CD pipelines, and optimizing and monitoring data platforms. The offer includes training support and healthcare benefits.
from: 4 September 2026
to: 4 October 2026
salary not specifiedcontract of employment (full-time)
Offer parameters
level:mid
working mode:hybrid
Gdańsk, Oliwa
Requirements
Expected technologies
Python
Terraform
Bash
Docker
Kubernetes
Optional technologies
Snowflake Data Cloud
Docker
Kubernetes
Our requirements
- At least 3 years of experience in a similar role, including 1+ year working with cloud platforms.
- Strong experience in Python or another programming language.
- Hands-on experience with DevOps methodologies, especially Infrastructure as Code (Terraform, Bicep).
- Very good communication skills and strong English language skills.
Optional
- Experience with CI/CD pipelines and automation tools.
- Familiarity with cloud data services such as Data Lake, Snowflake, or Synapse.
- Knowledge of containerization (Docker, Kubernetes) and cloud security best practices.
- Certifications such as AWS Certified Data Analytics, Azure Data Engineer Associate, or GCP Professional Data Engineer.
Your responsibilities
- Automate the deployment and management of cloud-based data platforms using Infrastructure as Code (IaC).
- Develop and maintain CI/CD pipelines to streamline data engineering workflows and deployments.
- Optimize system reliability, scalability, and security by implementing DevOps best practices.
- Monitor, troubleshoot, and enhance cloud-based data infrastructure to ensure high availability and performance.
About the project
Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting-edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision.
What we offer
- 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.
- Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) 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.
- Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Medicover Sport.
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
- 1.Interview with the recruiter
- 2.Competency Tests/Language Verification
- 3.Video call with a manager
- 4.Final Decision
Capgemini Polska
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.
This is how we work
Data Platform Engineer (DevOps)
I apply to:
Capgemini Polska
Gdańsk, Oliwa
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