Data Platform Engineer @ Capgemini Polska Sp. z o.o.
(práce v Polsku)

Data Platform Engineer @ Capgemini Polska Sp. z o.o.

Polsko

YOUR PROFILE

• 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.

Nice to have:

• 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.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you will be helped 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 TEAM

Insights & Data is a team of over 400 specialists delivering high-quality, data-centric solutions. We focus on Cloud & Big Data engineering, designing and implementing scalable architectures across AWS, Azure, and GCP. Our expertise spans the entire Software Development Life Cycle (SDLC), employing advanced programming techniques, DevOps methodologies, and Infrastructure as Code (IaC) practices.

WHAT YOULL LOVE ABOUT WORKING HERE

• 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.

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 TikTok! — @capgeminipl.

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. 
 

Apply now!

,[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.] Requirements: Cloud platform, Python, DevOps, Infrastructure as Code, Bicep, Communication skills, CD pipeline, Cloud, Snowflake, Docker, Kubernetes, Security, AWS, Data analytics, Azure, GCP Additionally: Sport subscription, Training budget, Private healthcare, International projects, Free coffee, Bike parking, Shower, Mobile phone, Modern office, No dress code.

Kategorie

data

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