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Data Consultant (Warszawa, PL) @ CAPGEMINI SERVICE SAS

PLOnsiteFull-time
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About this role

<p>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. </p> <div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px">Job Description</H2> </div><div><p> </p> <p><span style=""><span style="">Due to the development of our teams, we are looking for Candidates at mid and senior levels interested in professional development in Data Solutions area.</span></span></p> <p> </p> <p><span style=""><span style=""><b>Main tasks in this role:</b></span></span></p> <ul> <li><span style=""><span style="">Working in close partnerships with technical and business teams across the business to source, transform and harmonize datasets to inform our model/product</span></span></li> <li><span style=""><span style="">Articulating business value of analytics projects and progressing solutions from MVP to scaled-up production solutions</span></span></li> <li><span style=""><span style="">Productive working relationships with suppliers and specialist technology providers to assemble and maintain a distinctive and flexible mix of capabilities against future requirements</span></span></li> </ul> <p> </p> <p><span style=""><span style=""><b>Here’s what we expect... :</b></span></span></p> <ul> <li><span style=""><span style="">Knowledge of modern architecture and data ingestion setup with a focus on data automation</span></span></li> <li><span style=""><span style="">Previous experience in working with data (in data engineering and/or data science)</span></span></li> <li><span style=""><span style="">Experience with the Azure data and analytics stack (e.g., Azure SQL, Azure Data Factory, Azure DevOps, Databricks, Delta Lake)</span></span></li> <li><span style=""><span style="">Extensive media data knowledge</span></span></li> <li><span style=""><span style="">Experience with large datasets and Big Data environments would be a strong asset</span></span></li> <li><span style=""><span style="">Experience in Statistics, Modelling, Business Intelligence would be a strong asset</span></span></li> <li><span style=""><span style="">Experience with Agile delivery frameworks, tools, and approach</span></span></li> <li><span style=""><span style="">Advanced level of English, oral and written</span></span></li> <li><span style=""><span style="">Strong problem solving and </span></span><span style=""><span style="">analytical</span></span><span style=""><span style=""> skills</span></span></li> <li><span style=""><span style="">Strong understanding of data and information</span></span></li> <li><span style=""><span style="">Ability to work independently and proactively</span></span></li> </ul> <p> </p> </div></div></div><p>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 nearly 350,000 team members 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. The Group reported 2022 global revenues of €22 billion. Get the Future You Want | <a href="https://www.capgemini.com/" target="_blank">www.capgemini.com</a> </p>

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