Senior Azure Data Platform Engineer

YOUR PROFILE Proven experience with Microsoft Azure DevOps environment and services, including Azure Synapse Analytics, SQL Dedicated Pool, and container distribution using Argo CD. At least 3 + years experience in data engineering, with a focus on building and managing ETL pipelines in environments that utilize Oracle, PostgreSQL, and Azure Synapse. Hands-on experience with Kubernetes for container orchestration and management. Strong experience in using Jenkins and Nexus for continuous integration and continuous deployment (CI/CD) pipelines. Strong problem-solving and analytical skills, particularly in optimizing database performance and managing distributed systems. Good communication and collaboration skills, especially when working across cross-functional teams. Familiarity with Azure Cognitive Services and other AI/ML frameworks in cloud-based architectures. Solid understanding of DevOps practices, including container management, automated testing, and deployment processes. 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. WHAT YOU’LL LOVE ABOUT WORKING HERE Well-being culture: medical care with Medicover, private life insurance, and Multisport card. But wewent one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify. 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. Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy. 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 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.   ,[Collaborating with data scientists and software engineers to integrate (Gen)AI models into business applications, such as conversational chatbots and analytics., Managing, optimizing, and streamlining Data/AI workflows using AI orchestrators like LangChain, Implementing Azure Cognitive Services for natural language processing and other AI functionalities, Designing and managing efficient database schemas to meet application data requirements, Performing database tuning and query optimization to ensure high performance, Working closely with cross-functional teams to understand business requirements and translate them into technical solutions, Documenting data workflows, processes, and architectures, Ensuring that all data solutions adhere to security and compliance standards, including data encryption and access controls] Requirements: Microsoft Azure, Azure Synapse Analytics, SQL, Argo, CD, Data engineering, ETL, Oracle, PostgreSQL, Kubernetes, Jenkins, Continuous deployment, Continuous integration, Analytical skills, AI, DevOps, Automated testing Additionally: private life insurance, Private healthcare.