Senior Consultant Analytics Solutions (m/f/d)

<p>We are looking for a highly experienced data engineer and analytics consultant to join our Analytics Solutions team, where across business disciplines data-based solutions are developed and supported with passion and enthusiasm. We promise a highly motivated, very professional team, in an exciting, challenging, and internationally oriented environment of a rapidly evolving and modernizing IT at Fresenius.</p><p></p><p>Together we can do more! You will work as part of a team and with a variety of stakeholders to implement data-based solutions end-to-end, from integrated data provision to data processing and analytics to integration into downstream systems, e.g. for corporate reporting or planning. Even after project completion, you are a sought-after contact person and advise and support our specialist departments and users in close cooperation. As an all-rounder, you will also support the set-up, continuous enhancement, and operation of our central data platform.</p><p></p><h2>Your assigments</h2><ul><li><p>Consult, design, and implement best practices for data engineering and analytics projects</p></li><li><p>Support for the detailed analysis and design in the specification part as well as the transfer of user requirements into viable concepts</p></li><li><p>Contribution to the scoping and planning of projects and solutions</p></li><li><p>Preparation of cost estimates for sub-projects</p></li><li><p>Responsibility for the design of solution architectures</p></li><li><p>Implementation of concepts and operational quality assurance measures</p></li><li><p>Providing second and third level support</p></li></ul><p></p><h2>Your profile</h2><p></p><ul><li><p>University degree in analytics related field (business information systems, data science, physics, math, computer science) or comparable education</p></li><li><p>Multiple years of professional experience as a data engineer in an industrial environment</p></li><li><p>Very good knowledge of data analysis and data engineering, especially in Python, R, Scala a/o Julia as well as sound know-how in SQL programming, Java and C/C++</p></li><li><p>In-depth experience with data analytics and data engineering tools in Azure like cloud storage, databases and data warehouses, engineering tools, Kubernetes, serverless, Terraform as well as with the BI &amp; Analytics stacks such as Databricks, Datasphere,Fabric, and Power BI</p></li><li><p>Experience with SAP BW</p></li><li><p>Excellent communication skills in English</p></li><li><p>Being a committed team player and active co-thinker who scores with quick comprehension and considerable problem-solving skill</p></li></ul><p><span><span><span><span><span><span><span><span>Mindesteingruppierung/Minimum</span></span></span></span></span></span></span></span> Grading:</p>E 12 (T)